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description Publicationkeyboard_double_arrow_right Article , Other literature type 2025Embargo end date: 31 Jan 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE) Amjad Rehman Khan; Kamran Ahmad Awan; Fahad F. Alruwaili; Anees Ara; Houbing Herbert Song; Tanzila Saba;The prompt expansion of IoT devices necessitates advanced security frameworks to protect data integrity, confidentiality, and availability in resource-constrained environments. Traditional security solutions are often resource-intensive for IoT devices with limited computational power and energy resources. This study addresses these inadequacies by proposing a novel approach formulated to such constraints. This study propose the Trust-Enhanced Lightweight Security Framework (?SF), integrating two novel components: the Adaptive Lightweight Encryption Algorithm (ALEA) and the Trust-Aware Data Protection Model (TADPM). ALEA employs dynamic key generation through a lightweight hash function, ensuring unique and regularly updated encryption keys based on device context and behavior. TADPM enhances this framework by continuously assessing device trustworthiness through direct interactions, aggregated feedback from neighboring devices, and contextual parameters such as location and device capabilities. Performance evaluations demonstrate that ?SF significantly enhances security and operational efficiency, reducing computational overhead by 18%, improving energy efficiency by 20%, and increasing data transmission security by 10% compared to existing solutions.
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2025 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2025 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2025Embargo end date: 31 Jan 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE) Amjad Rehman Khan; Kamran Ahmad Awan; Fahad F. Alruwaili; Anees Ara; Houbing Herbert Song; Tanzila Saba;The prompt expansion of IoT devices necessitates advanced security frameworks to protect data integrity, confidentiality, and availability in resource-constrained environments. Traditional security solutions are often resource-intensive for IoT devices with limited computational power and energy resources. This study addresses these inadequacies by proposing a novel approach formulated to such constraints. This study propose the Trust-Enhanced Lightweight Security Framework (?SF), integrating two novel components: the Adaptive Lightweight Encryption Algorithm (ALEA) and the Trust-Aware Data Protection Model (TADPM). ALEA employs dynamic key generation through a lightweight hash function, ensuring unique and regularly updated encryption keys based on device context and behavior. TADPM enhances this framework by continuously assessing device trustworthiness through direct interactions, aggregated feedback from neighboring devices, and contextual parameters such as location and device capabilities. Performance evaluations demonstrate that ?SF significantly enhances security and operational efficiency, reducing computational overhead by 18%, improving energy efficiency by 20%, and increasing data transmission security by 10% compared to existing solutions.
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2025 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jiot.2024.3514374&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2025 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jiot.2024.3514374&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020Publisher:MDPI AG Tanzila Saba; Khalid Haseeb; Ikram Ud Din; Ahmad Almogren; Ayman Altameem; Suliman Mohamed Fati;doi: 10.3390/en13164072
In recent times, the field of wireless sensor networks (WSNs) has attained a growing popularity in observing the environment due to its dynamic factors. Sensor data are gathered and forwarded to the base station (BS) through a wireless transmission medium. The data from the BS is further distributed to end-users using the Internet for their post analysis and operations. However, all sensors except the BS have limited constraints in terms of memory, energy and computational resources that degrade the network performance concerning the network lifetime and trustworthy routing. Therefore, improving energy efficiency with reliable and secure transmissions is a valuable debate among researchers for critical applications based on low-powered sensor nodes. In addition, security plays a significant cause to achieve responsible communications among sensors due to their unfixed and variable infrastructures. Keeping in view the above-mentioned issues, this paper presents an energy-aware graph clustering and intelligent routing (EGCIR) using a supervised system for WSNs to balance the energy consumption and load distribution. Moreover, a secure and efficient key distribution in a hierarchy-based mechanism is adopted by the proposed solution to improve the network efficacy in terms of routes and links integrity. The experimental results demonstrated that the EGCIR protocol enhances the network throughput by an average of 14%, packet drop ratio by an average of 50%, energy consumption by an average of 13%, data latency by an average of 30.2% and data breaches by an average of 37.5% than other state-of-the-art protocols.
Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/16/4072/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13164072&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 17 citations 17 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/16/4072/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13164072&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020Publisher:MDPI AG Tanzila Saba; Khalid Haseeb; Ikram Ud Din; Ahmad Almogren; Ayman Altameem; Suliman Mohamed Fati;doi: 10.3390/en13164072
In recent times, the field of wireless sensor networks (WSNs) has attained a growing popularity in observing the environment due to its dynamic factors. Sensor data are gathered and forwarded to the base station (BS) through a wireless transmission medium. The data from the BS is further distributed to end-users using the Internet for their post analysis and operations. However, all sensors except the BS have limited constraints in terms of memory, energy and computational resources that degrade the network performance concerning the network lifetime and trustworthy routing. Therefore, improving energy efficiency with reliable and secure transmissions is a valuable debate among researchers for critical applications based on low-powered sensor nodes. In addition, security plays a significant cause to achieve responsible communications among sensors due to their unfixed and variable infrastructures. Keeping in view the above-mentioned issues, this paper presents an energy-aware graph clustering and intelligent routing (EGCIR) using a supervised system for WSNs to balance the energy consumption and load distribution. Moreover, a secure and efficient key distribution in a hierarchy-based mechanism is adopted by the proposed solution to improve the network efficacy in terms of routes and links integrity. The experimental results demonstrated that the EGCIR protocol enhances the network throughput by an average of 14%, packet drop ratio by an average of 50%, energy consumption by an average of 13%, data latency by an average of 30.2% and data breaches by an average of 37.5% than other state-of-the-art protocols.
Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/16/4072/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13164072&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 17 citations 17 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/16/4072/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13164072&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:Institute of Electrical and Electronics Engineers (IEEE) Ali Raza Bhangwar; Adnan Ahmed; Umair Ali Khan; Tanzila Saba; Khaled Mellouli; Khalid Haseeb; Naveed Islam;Les progrès technologiques dans la communication sans fil et la miniaturisation des nœuds de capteurs ont abouti au développement de réseaux de capteurs médicaux sans fil (WMSN) qui peuvent être utilisés efficacement pour la surveillance à distance des patients. La surveillance à distance des patients est l'une de ces applications des réseaux de capteurs sans fil qui est de plus en plus répandue dans les soins de santé. Les applications de soins de santé des WMSN sont sensibles au retard et nécessitent la livraison en temps opportun des données critiques pour le patient. Cependant, l'échange fréquent de paquets de données critiques entraîne des retards, des collisions, des pertes de paquets et des retransmissions plus importants. Par conséquent, cela a un impact négatif sur les performances des WMSN. De plus, les nœuds de capteurs biomédicaux implantés produisent des rayonnements électromagnétiques, ce qui constitue une menace sérieuse d'endommager les tissus sensibles du corps humain. La protection des tissus endommagés nécessite des protocoles de routage sensibles à la chaleur. Cependant, la plupart des protocoles de routage sensibles à la chaleur développés pour les WBSN se sont principalement concentrés sur la minimisation de la température, tout en négligeant l'objectif de conservation de l'énergie et l'optimisation de la sélection de l'itinéraire. Dans cet article, nous proposons un protocole de routage pondéré, basé sur la QoS, sensible à l'énergie et à la température, appelé (WETRP), pour les WMSN qui utilise une métrique de routage composite en gardant à l'esprit la température, l'énergie restante du nœud et l'estimation du retard de liaison lors des décisions de sélection d'itinéraire. Les résultats de simulation présentés dans l'article démontrent l'efficacité du schéma proposé en termes de prévention de l'augmentation de la température, de traitement des nœuds de points chauds et de maximisation de la durée de vie du réseau. Los avances tecnológicos en la comunicación inalámbrica y la miniaturización de los nodos de sensores han dado como resultado el desarrollo de redes inalámbricas de sensores médicos (WMSN) que se pueden utilizar de manera efectiva para el monitoreo remoto de pacientes. La monitorización remota de pacientes es una de esas aplicaciones de redes de sensores inalámbricos que se está volviendo cada vez más frecuente en la atención médica. Las aplicaciones sanitarias de las WMSN son sensibles a los retrasos y requieren la entrega oportuna de datos críticos para el paciente. Sin embargo, el intercambio frecuente de paquetes de datos críticos da como resultado mayores retrasos, colisiones, caída de paquetes y retransmisiones. En consecuencia, tiene un impacto perjudicial en el rendimiento de las WMSN. Además, los nodos de sensores biomédicos implantados producen radiaciones electromagnéticas y representan una grave amenaza de dañar los tejidos sensibles del cuerpo humano. La protección del daño tisular requiere protocolos de enrutamiento con conocimiento térmico. Sin embargo, la mayoría de los protocolos de enrutamiento térmicos desarrollados para las WBSN se centraron principalmente en minimizar la temperatura, sin tener en cuenta el objetivo de ahorro de energía y la optimización de la selección de rutas. En este documento, proponemos un protocolo de enrutamiento ponderado, basado en QoS, consciente de la energía y la temperatura, denominado (WETRP), para las WMSN que utiliza una métrica de enrutamiento compuesta al mantener a la vista la temperatura, la energía restante del nodo y la estimación del retardo de enlace durante las decisiones de selección de ruta. Los resultados de la simulación presentados en el documento demuestran la eficacia del esquema propuesto en términos de prevención del aumento de la temperatura, tratamiento de los nodos de puntos de acceso y maximización de la vida útil de la red. The technological advancements in wireless communication and miniaturization of sensor nodes have resulted in the development of Wireless Medical Sensor Networks (WMSNs) which can be effectively used for remote patient monitoring. Remote patient monitoring is one such application of wireless sensor networks which is becoming increasingly prevalent in healthcare. The healthcare applications of the WMSNs are delay-sensitive and require timely delivery of patient-critical data. However, the frequent exchange of critical data packets results in higher delays, collisions, packet drop, and re-transmissions. Consequently, it brings a detrimental impact on the performance of the WMSNs. In addition, the implanted biomedical sensor nodes produce electromagnetic radiations, pose a serious threat of damaging sensitive tissues in the human body. Protecting tissue damage requires thermal-aware routing protocols. However, most of the thermal-aware routing protocols developed for the WBSNs primarily focused on minimizing temperature, while overlooking the energy conservation goal and optimization of route selection. In this paper, we propose a weighted, QoS-based, energy and temperature-aware routing protocol, referred to as (WETRP), for the WMSNs that utilizes a composite routing metric by keeping in view temperature, remaining node energy, and link-delay estimation during route selection decisions. The simulation results presented in the paper demonstrates the efficacy of the proposed scheme in terms of preventing temperature rise, dealing with hotspot nodes, and maximizing network's lifetime. أدت التطورات التكنولوجية في الاتصالات اللاسلكية وتصغير عقد المستشعر إلى تطوير شبكات المستشعرات الطبية اللاسلكية (WMSNs) التي يمكن استخدامها بفعالية لمراقبة المرضى عن بُعد. مراقبة المرضى عن بعد هي أحد هذه التطبيقات لشبكات الاستشعار اللاسلكية التي أصبحت منتشرة بشكل متزايد في مجال الرعاية الصحية. تطبيقات الرعاية الصحية لـ WMSNs حساسة للتأخير وتتطلب تسليم البيانات الحرجة للمريض في الوقت المناسب. ومع ذلك، فإن التبادل المتكرر لحزم البيانات الحرجة يؤدي إلى تأخيرات أعلى وتصادمات وإسقاط الحزم وإعادة الإرسال. وبالتالي، فإنه يجلب تأثيرًا ضارًا على أداء WMSNs. بالإضافة إلى ذلك، تنتج عقد المستشعر الطبي الحيوي المزروعة إشعاعات كهرومغناطيسية، وتشكل تهديدًا خطيرًا لتلف الأنسجة الحساسة في جسم الإنسان. تتطلب حماية تلف الأنسجة بروتوكولات توجيه مدركة للحرارة. ومع ذلك، فإن معظم بروتوكولات التوجيه الواعية للحرارة التي تم تطويرها لـ WBSNs ركزت في المقام الأول على تقليل درجة الحرارة، مع التغاضي عن هدف الحفاظ على الطاقة وتحسين اختيار المسار. في هذه الورقة، نقترح بروتوكول توجيه مرجح، قائم على جودة الخدمة، للطاقة ودرجة الحرارة، يشار إليه باسم (WETRP)، لـ WMSNs التي تستخدم مقياس توجيه مركب من خلال الحفاظ على درجة حرارة العرض، وطاقة العقدة المتبقية، وتقدير تأخير الارتباط أثناء قرارات اختيار المسار. توضح نتائج المحاكاة المقدمة في الورقة فعالية المخطط المقترح من حيث منع ارتفاع درجة الحرارة، والتعامل مع عقد النقاط الساخنة، وتعظيم عمر الشبكة.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/access.2019.2925741&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/access.2019.2925741&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:Institute of Electrical and Electronics Engineers (IEEE) Ali Raza Bhangwar; Adnan Ahmed; Umair Ali Khan; Tanzila Saba; Khaled Mellouli; Khalid Haseeb; Naveed Islam;Les progrès technologiques dans la communication sans fil et la miniaturisation des nœuds de capteurs ont abouti au développement de réseaux de capteurs médicaux sans fil (WMSN) qui peuvent être utilisés efficacement pour la surveillance à distance des patients. La surveillance à distance des patients est l'une de ces applications des réseaux de capteurs sans fil qui est de plus en plus répandue dans les soins de santé. Les applications de soins de santé des WMSN sont sensibles au retard et nécessitent la livraison en temps opportun des données critiques pour le patient. Cependant, l'échange fréquent de paquets de données critiques entraîne des retards, des collisions, des pertes de paquets et des retransmissions plus importants. Par conséquent, cela a un impact négatif sur les performances des WMSN. De plus, les nœuds de capteurs biomédicaux implantés produisent des rayonnements électromagnétiques, ce qui constitue une menace sérieuse d'endommager les tissus sensibles du corps humain. La protection des tissus endommagés nécessite des protocoles de routage sensibles à la chaleur. Cependant, la plupart des protocoles de routage sensibles à la chaleur développés pour les WBSN se sont principalement concentrés sur la minimisation de la température, tout en négligeant l'objectif de conservation de l'énergie et l'optimisation de la sélection de l'itinéraire. Dans cet article, nous proposons un protocole de routage pondéré, basé sur la QoS, sensible à l'énergie et à la température, appelé (WETRP), pour les WMSN qui utilise une métrique de routage composite en gardant à l'esprit la température, l'énergie restante du nœud et l'estimation du retard de liaison lors des décisions de sélection d'itinéraire. Les résultats de simulation présentés dans l'article démontrent l'efficacité du schéma proposé en termes de prévention de l'augmentation de la température, de traitement des nœuds de points chauds et de maximisation de la durée de vie du réseau. Los avances tecnológicos en la comunicación inalámbrica y la miniaturización de los nodos de sensores han dado como resultado el desarrollo de redes inalámbricas de sensores médicos (WMSN) que se pueden utilizar de manera efectiva para el monitoreo remoto de pacientes. La monitorización remota de pacientes es una de esas aplicaciones de redes de sensores inalámbricos que se está volviendo cada vez más frecuente en la atención médica. Las aplicaciones sanitarias de las WMSN son sensibles a los retrasos y requieren la entrega oportuna de datos críticos para el paciente. Sin embargo, el intercambio frecuente de paquetes de datos críticos da como resultado mayores retrasos, colisiones, caída de paquetes y retransmisiones. En consecuencia, tiene un impacto perjudicial en el rendimiento de las WMSN. Además, los nodos de sensores biomédicos implantados producen radiaciones electromagnéticas y representan una grave amenaza de dañar los tejidos sensibles del cuerpo humano. La protección del daño tisular requiere protocolos de enrutamiento con conocimiento térmico. Sin embargo, la mayoría de los protocolos de enrutamiento térmicos desarrollados para las WBSN se centraron principalmente en minimizar la temperatura, sin tener en cuenta el objetivo de ahorro de energía y la optimización de la selección de rutas. En este documento, proponemos un protocolo de enrutamiento ponderado, basado en QoS, consciente de la energía y la temperatura, denominado (WETRP), para las WMSN que utiliza una métrica de enrutamiento compuesta al mantener a la vista la temperatura, la energía restante del nodo y la estimación del retardo de enlace durante las decisiones de selección de ruta. Los resultados de la simulación presentados en el documento demuestran la eficacia del esquema propuesto en términos de prevención del aumento de la temperatura, tratamiento de los nodos de puntos de acceso y maximización de la vida útil de la red. The technological advancements in wireless communication and miniaturization of sensor nodes have resulted in the development of Wireless Medical Sensor Networks (WMSNs) which can be effectively used for remote patient monitoring. Remote patient monitoring is one such application of wireless sensor networks which is becoming increasingly prevalent in healthcare. The healthcare applications of the WMSNs are delay-sensitive and require timely delivery of patient-critical data. However, the frequent exchange of critical data packets results in higher delays, collisions, packet drop, and re-transmissions. Consequently, it brings a detrimental impact on the performance of the WMSNs. In addition, the implanted biomedical sensor nodes produce electromagnetic radiations, pose a serious threat of damaging sensitive tissues in the human body. Protecting tissue damage requires thermal-aware routing protocols. However, most of the thermal-aware routing protocols developed for the WBSNs primarily focused on minimizing temperature, while overlooking the energy conservation goal and optimization of route selection. In this paper, we propose a weighted, QoS-based, energy and temperature-aware routing protocol, referred to as (WETRP), for the WMSNs that utilizes a composite routing metric by keeping in view temperature, remaining node energy, and link-delay estimation during route selection decisions. The simulation results presented in the paper demonstrates the efficacy of the proposed scheme in terms of preventing temperature rise, dealing with hotspot nodes, and maximizing network's lifetime. أدت التطورات التكنولوجية في الاتصالات اللاسلكية وتصغير عقد المستشعر إلى تطوير شبكات المستشعرات الطبية اللاسلكية (WMSNs) التي يمكن استخدامها بفعالية لمراقبة المرضى عن بُعد. مراقبة المرضى عن بعد هي أحد هذه التطبيقات لشبكات الاستشعار اللاسلكية التي أصبحت منتشرة بشكل متزايد في مجال الرعاية الصحية. تطبيقات الرعاية الصحية لـ WMSNs حساسة للتأخير وتتطلب تسليم البيانات الحرجة للمريض في الوقت المناسب. ومع ذلك، فإن التبادل المتكرر لحزم البيانات الحرجة يؤدي إلى تأخيرات أعلى وتصادمات وإسقاط الحزم وإعادة الإرسال. وبالتالي، فإنه يجلب تأثيرًا ضارًا على أداء WMSNs. بالإضافة إلى ذلك، تنتج عقد المستشعر الطبي الحيوي المزروعة إشعاعات كهرومغناطيسية، وتشكل تهديدًا خطيرًا لتلف الأنسجة الحساسة في جسم الإنسان. تتطلب حماية تلف الأنسجة بروتوكولات توجيه مدركة للحرارة. ومع ذلك، فإن معظم بروتوكولات التوجيه الواعية للحرارة التي تم تطويرها لـ WBSNs ركزت في المقام الأول على تقليل درجة الحرارة، مع التغاضي عن هدف الحفاظ على الطاقة وتحسين اختيار المسار. في هذه الورقة، نقترح بروتوكول توجيه مرجح، قائم على جودة الخدمة، للطاقة ودرجة الحرارة، يشار إليه باسم (WETRP)، لـ WMSNs التي تستخدم مقياس توجيه مركب من خلال الحفاظ على درجة حرارة العرض، وطاقة العقدة المتبقية، وتقدير تأخير الارتباط أثناء قرارات اختيار المسار. توضح نتائج المحاكاة المقدمة في الورقة فعالية المخطط المقترح من حيث منع ارتفاع درجة الحرارة، والتعامل مع عقد النقاط الساخنة، وتعظيم عمر الشبكة.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Publisher:Institute of Electrical and Electronics Engineers (IEEE) Khalid Haseeb; Khaled Mellouli; Zahoor Jan; Tanzila Saba; Usman Tariq;Les réseaux de capteurs sans fil (WSN) attirent beaucoup l'attention de divers domaines en raison de leurs caractéristiques de maintenance, d'auto-configuration et d'évolutivité faciles. Il est composé de capteurs de petite taille qui interagissent avec l'Internet des objets (IoT) pour observer et enregistrer les conditions physiques. Les nœuds de capteur sont autonomes et construisent une topologie d'inter-communication les uns avec les autres de manière ad hoc. Cependant, les principales restrictions des nœuds de capteurs sont leurs ressources limitées pour la gestion de l'énergie, le stockage des données, la transmission et la puissance de traitement. Différentes solutions ont été abordées par les chercheurs pour surmonter les performances du réseau en raison des limitations limitées de ces nœuds alimentés par batterie, cependant, égaliser la consommation d'énergie et maintenir le débit du réseau sont les principaux problèmes de recherche. En outre, en raison des nœuds compromis, les données sont plus sujettes aux vulnérabilités de sécurité. Par conséquent, leur sécurité sur le réseau imprévisible est une autre préoccupation de recherche. Ainsi, l'objectif de cet article de recherche est de proposer un protocole de routage basé sur l'heuristique (SEHR) sécurisé et sensible à l'énergie pour WSN afin de détecter et de prévenir la compromission des données avec des performances efficaces. Tout d'abord, le protocole proposé utilise une analyse heuristique basée sur l'intelligence artificielle pour réaliser un schéma d'apprentissage fiable et intellectuel. Deuxièmement, il protège les transmissions contre les groupes adverses pour atteindre la sécurité avec le moins de complexité possible. De plus, la stratégie de maintenance des itinéraires est également réalisée en utilisant l'exploration du trafic pour réduire les défaillances de liaison et la déconnectivité du réseau. Les résultats de la simulation ont démontré que le protocole SEHR améliore l'efficacité du débit réseau de 18 % en moyenne, le taux de chute des paquets de 42 %, le retard de bout en bout de 26 %, la consommation d'énergie de 36 %, les itinéraires défectueux de 38 %, les frais généraux du réseau de 44 % et les frais généraux de calcul de 43 % dans les scénarios dynamiques par rapport aux travaux existants. Las redes de sensores inalámbricos (WSN) logran mucha atención de varios dominios debido a su fácil mantenimiento, autoconfiguración y características de escalabilidad. Se compone de sensores de pequeño tamaño que interactúan con el Internet de las cosas (IoT) para observar y registrar las condiciones físicas. Los nodos sensores son autónomos y construyen la topología de intercomunicación entre sí de manera ad-hoc. Sin embargo, las principales restricciones de los nodos sensores son sus recursos finitos para la gestión de la energía, el almacenamiento de datos, la transmisión y la potencia de procesamiento. Los investigadores han abordado diferentes soluciones para superar el rendimiento de la red debido a las limitaciones limitadas de dichos nodos alimentados por batería, sin embargo, igualar el consumo de energía y mantener el rendimiento de la red son los principales problemas de investigación. Además, debido a los nodos comprometidos, los datos son más propensos a las vulnerabilidades de seguridad. Por lo tanto, su seguridad sobre la red impredecible es otra de las preocupaciones de la investigación. Por lo tanto, el objetivo de este artículo de investigación es proponer un protocolo de enrutamiento basado en heurística (SEHR) seguro y consciente de la energía para que WSN detecte y evite comprometer los datos con un rendimiento eficiente. En primer lugar, el protocolo propuesto hace uso de un análisis heurístico basado en inteligencia artificial para lograr un esquema de aprendizaje fiable e intelectual. En segundo lugar, protege las transmisiones contra grupos adversarios para lograr la seguridad con la menor complejidad. Además, la estrategia de mantenimiento de rutas también se logra mediante el uso de la exploración de tráfico para reducir las fallas de enlace y la desconectividad de la red. Los resultados de la simulación demostraron que el protocolo SEHR mejora la eficacia para el rendimiento de la red en un promedio del 18%, la relación de caída de paquetes en un 42%, el retraso de extremo a extremo en un 26%, el consumo de energía en un 36%, las rutas defectuosas en un 38%, la sobrecarga de la red en un 44% y la sobrecarga computacional en un 43% en escenarios dinámicos en comparación con el trabajo existente. Wireless Sensor Networks (WSNs) achieve much attention from various domains because of its easy maintenance, self-configuration, and scalability characteristics. It is comprised of small-sized sensors that interact with the Internet of Things (IoT) for observing and recording the physical conditions. The sensor nodes are autonomous and construct inter-communication topology with each other in an ad-hoc manner. However, the main restrictions of sensor nodes are their finite resources for energy management, data storage, transmission, and processing power. Different solutions have been addressed by researchers to overcome network performance due to bounded limitations of such battery-powered nodes, however, equalize the energy consumption and maintain the network throughput are the main research problems. Furthermore, due to the compromised nodes, the data is more prone to security vulnerabilities. Therefore, their security over the unpredictable network is other research concerns. Thus, the aim of this research article to propose a secure and energy-aware heuristic-based routing (SEHR) protocol for WSN to detect and prevent compromising data with efficient performance. Firstly, the proposed protocol makes use of an artificial intelligence-based heuristic analysis to accomplish a reliable, and intellectual learning scheme. Secondly, it protects the transmissions against adversary groups to attain security with the least complexity. Moreover, the route maintenance strategy is also achieved by using traffic exploration to reduce link failures and network dis-connectivity. The simulation results demonstrated the SEHR protocol improves the efficacy for network throughput by an average of 18%, packet drop ratio by 42%, end-to-end delay by 26%, energy consumption by 36%, faulty routes by 38%, network overhead by 44%, and computational overhead by 43% in dynamic scenarios as compared to existing work. تحظى شبكات الاستشعار اللاسلكية (WSNs) باهتمام كبير من مختلف المجالات بسبب سهولة صيانتها وتكوينها الذاتي وخصائص قابلية التوسع. وهي تتألف من أجهزة استشعار صغيرة الحجم تتفاعل مع إنترنت الأشياء (IoT) لمراقبة وتسجيل الظروف المادية. عقد المستشعر مستقلة وتبني طوبولوجيا بين الاتصالات مع بعضها البعض بطريقة مخصصة. ومع ذلك، فإن القيود الرئيسية لعقد المستشعر هي مواردها المحدودة لإدارة الطاقة وتخزين البيانات ونقلها وقوة المعالجة. تم تناول حلول مختلفة من قبل الباحثين للتغلب على أداء الشبكة بسبب القيود المحدودة لهذه العقد التي تعمل بالبطارية، ومع ذلك، فإن مساواة استهلاك الطاقة والحفاظ على إنتاجية الشبكة هي مشاكل البحث الرئيسية. علاوة على ذلك، نظرًا للعقد المخترقة، تكون البيانات أكثر عرضة للثغرات الأمنية. لذلك، فإن أمنهم على الشبكة التي لا يمكن التنبؤ بها هو مخاوف بحثية أخرى. وبالتالي، فإن الهدف من هذه المقالة البحثية هو اقتراح بروتوكول توجيه إرشادي آمن ومدرك للطاقة (SEHR) لـ WSN لاكتشاف ومنع اختراق البيانات بأداء فعال. أولاً، يستخدم البروتوكول المقترح تحليلًا استكشافيًا قائمًا على الذكاء الاصطناعي لإنجاز مخطط تعلم فكري موثوق به. ثانيًا، يحمي عمليات الإرسال ضد مجموعات الخصم لتحقيق الأمن بأقل قدر من التعقيد. علاوة على ذلك، يتم تحقيق استراتيجية صيانة المسار أيضًا باستخدام استكشاف حركة المرور لتقليل أعطال الوصلات وفصل الشبكة. أظهرت نتائج المحاكاة أن بروتوكول SEHR يحسن فعالية إنتاجية الشبكة بمعدل 18 ٪، ونسبة انخفاض الحزمة بنسبة 42 ٪، والتأخير من طرف إلى طرف بنسبة 26 ٪، واستهلاك الطاقة بنسبة 36 ٪، والطرق الخاطئة بنسبة 38 ٪، والنفقات العامة للشبكة بنسبة 44 ٪، والنفقات العامة الحسابية بنسبة 43 ٪ في السيناريوهات الديناميكية مقارنة بالعمل الحالي.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 49 citations 49 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Publisher:Institute of Electrical and Electronics Engineers (IEEE) Khalid Haseeb; Khaled Mellouli; Zahoor Jan; Tanzila Saba; Usman Tariq;Les réseaux de capteurs sans fil (WSN) attirent beaucoup l'attention de divers domaines en raison de leurs caractéristiques de maintenance, d'auto-configuration et d'évolutivité faciles. Il est composé de capteurs de petite taille qui interagissent avec l'Internet des objets (IoT) pour observer et enregistrer les conditions physiques. Les nœuds de capteur sont autonomes et construisent une topologie d'inter-communication les uns avec les autres de manière ad hoc. Cependant, les principales restrictions des nœuds de capteurs sont leurs ressources limitées pour la gestion de l'énergie, le stockage des données, la transmission et la puissance de traitement. Différentes solutions ont été abordées par les chercheurs pour surmonter les performances du réseau en raison des limitations limitées de ces nœuds alimentés par batterie, cependant, égaliser la consommation d'énergie et maintenir le débit du réseau sont les principaux problèmes de recherche. En outre, en raison des nœuds compromis, les données sont plus sujettes aux vulnérabilités de sécurité. Par conséquent, leur sécurité sur le réseau imprévisible est une autre préoccupation de recherche. Ainsi, l'objectif de cet article de recherche est de proposer un protocole de routage basé sur l'heuristique (SEHR) sécurisé et sensible à l'énergie pour WSN afin de détecter et de prévenir la compromission des données avec des performances efficaces. Tout d'abord, le protocole proposé utilise une analyse heuristique basée sur l'intelligence artificielle pour réaliser un schéma d'apprentissage fiable et intellectuel. Deuxièmement, il protège les transmissions contre les groupes adverses pour atteindre la sécurité avec le moins de complexité possible. De plus, la stratégie de maintenance des itinéraires est également réalisée en utilisant l'exploration du trafic pour réduire les défaillances de liaison et la déconnectivité du réseau. Les résultats de la simulation ont démontré que le protocole SEHR améliore l'efficacité du débit réseau de 18 % en moyenne, le taux de chute des paquets de 42 %, le retard de bout en bout de 26 %, la consommation d'énergie de 36 %, les itinéraires défectueux de 38 %, les frais généraux du réseau de 44 % et les frais généraux de calcul de 43 % dans les scénarios dynamiques par rapport aux travaux existants. Las redes de sensores inalámbricos (WSN) logran mucha atención de varios dominios debido a su fácil mantenimiento, autoconfiguración y características de escalabilidad. Se compone de sensores de pequeño tamaño que interactúan con el Internet de las cosas (IoT) para observar y registrar las condiciones físicas. Los nodos sensores son autónomos y construyen la topología de intercomunicación entre sí de manera ad-hoc. Sin embargo, las principales restricciones de los nodos sensores son sus recursos finitos para la gestión de la energía, el almacenamiento de datos, la transmisión y la potencia de procesamiento. Los investigadores han abordado diferentes soluciones para superar el rendimiento de la red debido a las limitaciones limitadas de dichos nodos alimentados por batería, sin embargo, igualar el consumo de energía y mantener el rendimiento de la red son los principales problemas de investigación. Además, debido a los nodos comprometidos, los datos son más propensos a las vulnerabilidades de seguridad. Por lo tanto, su seguridad sobre la red impredecible es otra de las preocupaciones de la investigación. Por lo tanto, el objetivo de este artículo de investigación es proponer un protocolo de enrutamiento basado en heurística (SEHR) seguro y consciente de la energía para que WSN detecte y evite comprometer los datos con un rendimiento eficiente. En primer lugar, el protocolo propuesto hace uso de un análisis heurístico basado en inteligencia artificial para lograr un esquema de aprendizaje fiable e intelectual. En segundo lugar, protege las transmisiones contra grupos adversarios para lograr la seguridad con la menor complejidad. Además, la estrategia de mantenimiento de rutas también se logra mediante el uso de la exploración de tráfico para reducir las fallas de enlace y la desconectividad de la red. Los resultados de la simulación demostraron que el protocolo SEHR mejora la eficacia para el rendimiento de la red en un promedio del 18%, la relación de caída de paquetes en un 42%, el retraso de extremo a extremo en un 26%, el consumo de energía en un 36%, las rutas defectuosas en un 38%, la sobrecarga de la red en un 44% y la sobrecarga computacional en un 43% en escenarios dinámicos en comparación con el trabajo existente. Wireless Sensor Networks (WSNs) achieve much attention from various domains because of its easy maintenance, self-configuration, and scalability characteristics. It is comprised of small-sized sensors that interact with the Internet of Things (IoT) for observing and recording the physical conditions. The sensor nodes are autonomous and construct inter-communication topology with each other in an ad-hoc manner. However, the main restrictions of sensor nodes are their finite resources for energy management, data storage, transmission, and processing power. Different solutions have been addressed by researchers to overcome network performance due to bounded limitations of such battery-powered nodes, however, equalize the energy consumption and maintain the network throughput are the main research problems. Furthermore, due to the compromised nodes, the data is more prone to security vulnerabilities. Therefore, their security over the unpredictable network is other research concerns. Thus, the aim of this research article to propose a secure and energy-aware heuristic-based routing (SEHR) protocol for WSN to detect and prevent compromising data with efficient performance. Firstly, the proposed protocol makes use of an artificial intelligence-based heuristic analysis to accomplish a reliable, and intellectual learning scheme. Secondly, it protects the transmissions against adversary groups to attain security with the least complexity. Moreover, the route maintenance strategy is also achieved by using traffic exploration to reduce link failures and network dis-connectivity. The simulation results demonstrated the SEHR protocol improves the efficacy for network throughput by an average of 18%, packet drop ratio by 42%, end-to-end delay by 26%, energy consumption by 36%, faulty routes by 38%, network overhead by 44%, and computational overhead by 43% in dynamic scenarios as compared to existing work. تحظى شبكات الاستشعار اللاسلكية (WSNs) باهتمام كبير من مختلف المجالات بسبب سهولة صيانتها وتكوينها الذاتي وخصائص قابلية التوسع. وهي تتألف من أجهزة استشعار صغيرة الحجم تتفاعل مع إنترنت الأشياء (IoT) لمراقبة وتسجيل الظروف المادية. عقد المستشعر مستقلة وتبني طوبولوجيا بين الاتصالات مع بعضها البعض بطريقة مخصصة. ومع ذلك، فإن القيود الرئيسية لعقد المستشعر هي مواردها المحدودة لإدارة الطاقة وتخزين البيانات ونقلها وقوة المعالجة. تم تناول حلول مختلفة من قبل الباحثين للتغلب على أداء الشبكة بسبب القيود المحدودة لهذه العقد التي تعمل بالبطارية، ومع ذلك، فإن مساواة استهلاك الطاقة والحفاظ على إنتاجية الشبكة هي مشاكل البحث الرئيسية. علاوة على ذلك، نظرًا للعقد المخترقة، تكون البيانات أكثر عرضة للثغرات الأمنية. لذلك، فإن أمنهم على الشبكة التي لا يمكن التنبؤ بها هو مخاوف بحثية أخرى. وبالتالي، فإن الهدف من هذه المقالة البحثية هو اقتراح بروتوكول توجيه إرشادي آمن ومدرك للطاقة (SEHR) لـ WSN لاكتشاف ومنع اختراق البيانات بأداء فعال. أولاً، يستخدم البروتوكول المقترح تحليلًا استكشافيًا قائمًا على الذكاء الاصطناعي لإنجاز مخطط تعلم فكري موثوق به. ثانيًا، يحمي عمليات الإرسال ضد مجموعات الخصم لتحقيق الأمن بأقل قدر من التعقيد. علاوة على ذلك، يتم تحقيق استراتيجية صيانة المسار أيضًا باستخدام استكشاف حركة المرور لتقليل أعطال الوصلات وفصل الشبكة. أظهرت نتائج المحاكاة أن بروتوكول SEHR يحسن فعالية إنتاجية الشبكة بمعدل 18 ٪، ونسبة انخفاض الحزمة بنسبة 42 ٪، والتأخير من طرف إلى طرف بنسبة 26 ٪، واستهلاك الطاقة بنسبة 36 ٪، والطرق الخاطئة بنسبة 38 ٪، والنفقات العامة للشبكة بنسبة 44 ٪، والنفقات العامة الحسابية بنسبة 43 ٪ في السيناريوهات الديناميكية مقارنة بالعمل الحالي.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/access.2020.3022285&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 49 citations 49 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/access.2020.3022285&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 SpainPublisher:MDPI AG Amjad Rehman; Tanzila Saba; Khalid Haseeb; Souad Larabi Marie-Sainte; Jaime Lloret;doi: 10.3390/en14196414
handle: 10251/187827
Internet of Things (IoT) is a developing technology for supporting heterogeneous physical objects into smart things and improving the individuals living using wireless communication systems. Recently, many smart healthcare systems are based on the Internet of Medical Things (IoMT) to collect and analyze the data for infectious diseases, i.e., body fever, flu, COVID-19, shortness of breath, etc. with the least operation cost. However, the most important research challenges in such applications are storing the medical data on a secured cloud and make the disease diagnosis system more energy efficient. Additionally, the rapid explosion of IoMT technology has involved many cyber-criminals and continuous attempts to compromise medical devices with information loss and generating bogus certificates. Thus, the increase in modern technologies for healthcare applications based on IoMT, securing health data, and offering trusted communication against intruders is gaining much research attention. Therefore, this study aims to propose an energy-efficient IoT e-health model using artificial intelligence with homomorphic secret sharing, which aims to increase the maintainability of disease diagnosis systems and support trustworthy communication with the integration of the medical cloud. The proposed model is analyzed and proved its significance against relevant systems.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/19/6414/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14196414&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 37visibility views 37 download downloads 47 Powered bymore_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/19/6414/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14196414&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 SpainPublisher:MDPI AG Amjad Rehman; Tanzila Saba; Khalid Haseeb; Souad Larabi Marie-Sainte; Jaime Lloret;doi: 10.3390/en14196414
handle: 10251/187827
Internet of Things (IoT) is a developing technology for supporting heterogeneous physical objects into smart things and improving the individuals living using wireless communication systems. Recently, many smart healthcare systems are based on the Internet of Medical Things (IoMT) to collect and analyze the data for infectious diseases, i.e., body fever, flu, COVID-19, shortness of breath, etc. with the least operation cost. However, the most important research challenges in such applications are storing the medical data on a secured cloud and make the disease diagnosis system more energy efficient. Additionally, the rapid explosion of IoMT technology has involved many cyber-criminals and continuous attempts to compromise medical devices with information loss and generating bogus certificates. Thus, the increase in modern technologies for healthcare applications based on IoMT, securing health data, and offering trusted communication against intruders is gaining much research attention. Therefore, this study aims to propose an energy-efficient IoT e-health model using artificial intelligence with homomorphic secret sharing, which aims to increase the maintainability of disease diagnosis systems and support trustworthy communication with the integration of the medical cloud. The proposed model is analyzed and proved its significance against relevant systems.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/19/6414/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14196414&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 37visibility views 37 download downloads 47 Powered bymore_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/19/6414/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14196414&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 SpainPublisher:MDPI AG Amjad Rehman; Khalid Haseeb; Tanzila Saba; Jaime Lloret; Zara Ahmed;doi: 10.3390/su13169092
handle: 10251/188307
The Internet of Things (IoT) is an emerging technology and provides connectivity among physical objects with the support of 5G communication. In recent decades, there have been a lot of applications based on IoT technology for the sustainability of smart cities, such as farming, e-healthcare, education, smart homes, weather monitoring, etc. These applications communicate in a collaborative manner between embedded IoT devices and systematize daily routine tasks. In the literature, many solutions facilitate remote users to gather the observed data by accessing the stored information on the cloud network and lead to smart systems. However, most of the solutions raise significant research challenges regarding information sharing in mobile IoT networks and must be able to stabilize the performance of smart operations in terms of security and intelligence. Many solutions are based on 5G communication to support high user mobility and increase the connectivity among a huge number of IoT devices. However, such approaches lack user and data privacy against anonymous threats and incur resource costs. In this paper, we present a mobility support 5G architecture with real-time routing for sustainable smart cities that aims to decrease the loss of data against network disconnectivity and increase the reliability for 5G-based public healthcare networks. The proposed architecture firstly establishes a mutual relationship among the nodes and mobile sink with shared secret information and lightweight processing. Secondly, multi-secured levels are proposed to protect the interaction with smart transmission systems by increasing the trust threshold over the insecure channels. The conducted experiments are analyzed, and it is concluded that their performance significantly increases the information sustainability for mobile networks in terms of security and routing.
Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/16/9092/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13169092&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 20 citations 20 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 30visibility views 30 download downloads 93 Powered bymore_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/16/9092/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13169092&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 SpainPublisher:MDPI AG Amjad Rehman; Khalid Haseeb; Tanzila Saba; Jaime Lloret; Zara Ahmed;doi: 10.3390/su13169092
handle: 10251/188307
The Internet of Things (IoT) is an emerging technology and provides connectivity among physical objects with the support of 5G communication. In recent decades, there have been a lot of applications based on IoT technology for the sustainability of smart cities, such as farming, e-healthcare, education, smart homes, weather monitoring, etc. These applications communicate in a collaborative manner between embedded IoT devices and systematize daily routine tasks. In the literature, many solutions facilitate remote users to gather the observed data by accessing the stored information on the cloud network and lead to smart systems. However, most of the solutions raise significant research challenges regarding information sharing in mobile IoT networks and must be able to stabilize the performance of smart operations in terms of security and intelligence. Many solutions are based on 5G communication to support high user mobility and increase the connectivity among a huge number of IoT devices. However, such approaches lack user and data privacy against anonymous threats and incur resource costs. In this paper, we present a mobility support 5G architecture with real-time routing for sustainable smart cities that aims to decrease the loss of data against network disconnectivity and increase the reliability for 5G-based public healthcare networks. The proposed architecture firstly establishes a mutual relationship among the nodes and mobile sink with shared secret information and lightweight processing. Secondly, multi-secured levels are proposed to protect the interaction with smart transmission systems by increasing the trust threshold over the insecure channels. The conducted experiments are analyzed, and it is concluded that their performance significantly increases the information sustainability for mobile networks in terms of security and routing.
Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/16/9092/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13169092&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 20 citations 20 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 30visibility views 30 download downloads 93 Powered bymore_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/16/9092/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13169092&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014Publisher:Natural Sciences Publishing Authors: Tanzila Saba; Asadullah Shah; Mueen Uddin; Raed Alsaqour;doi: 10.12785/amis/080514
Intensifying computation demand from enterprises has driven the growth of large, multifaceted data centers to manage current Internet, financial, commercial, and business applications. A d ata center comprises thousands of servers and other equipment that require substantial amounts of power to operate. This condition resu lts in numerous challenges for the data center industry, such as massive energy consumption, underutilization of installed equipment, emission of greenhouse gases, and effect on global warming. This paper highlights the significance of identifying metrics to determine the pe rformance and efficiency of a data center, which can help such a facility achieve operational cost savings through proper implementation of performance-measuring metrics. This paper discusses the implementation of Power Usage Effectiveness metrics in a tier-level data center in Pakistan. The results show that the overall performance value of the facility is 3.3, which indicates poor and inefficient operations.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.12785/amis/080514&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 14 citations 14 popularity Top 10% influence Top 10% impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.12785/amis/080514&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014Publisher:Natural Sciences Publishing Authors: Tanzila Saba; Asadullah Shah; Mueen Uddin; Raed Alsaqour;doi: 10.12785/amis/080514
Intensifying computation demand from enterprises has driven the growth of large, multifaceted data centers to manage current Internet, financial, commercial, and business applications. A d ata center comprises thousands of servers and other equipment that require substantial amounts of power to operate. This condition resu lts in numerous challenges for the data center industry, such as massive energy consumption, underutilization of installed equipment, emission of greenhouse gases, and effect on global warming. This paper highlights the significance of identifying metrics to determine the pe rformance and efficiency of a data center, which can help such a facility achieve operational cost savings through proper implementation of performance-measuring metrics. This paper discusses the implementation of Power Usage Effectiveness metrics in a tier-level data center in Pakistan. The results show that the overall performance value of the facility is 3.3, which indicates poor and inefficient operations.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.12785/amis/080514&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 14 citations 14 popularity Top 10% influence Top 10% impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.12785/amis/080514&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019Publisher:MDPI AG Sana Mujeeb; Turki Ali Alghamdi; Sameeh Ullah; Aisha Fatima; Nadeem Javaid; Tanzila Saba;doi: 10.3390/app9204417
Recently, power systems are facing the challenges of growing power demand, depleting fossil fuel and aggravating environmental pollution (caused by carbon emission from fossil fuel based power generation). The incorporation of alternative low carbon energy generation, i.e., Renewable Energy Sources (RESs), becomes crucial for energy systems. Effective Demand Side Management (DSM) and RES incorporation enable power systems to maintain demand, supply balance and optimize energy in an environmentally friendly manner. The wind power is a popular energy source because of its environmental and economical benefits. However, the uncertainty of wind power makes its incorporation in energy systems really difficult. To mitigate the risk of demand-supply imbalance, an accurate estimation of wind power is essential. Recognizing this challenging task, an efficient deep learning based prediction model is proposed for wind power forecasting. The proposed model has two stages. In the first stage, Wavelet Packet Transform (WPT) is used to decompose the past wind power signals. Other than decomposed signals and lagged wind power, multiple exogenous inputs (such as, calendar variable and Numerical Weather Prediction (NWP)) are also used as input to forecast wind power. In the second stage, a new prediction model, Efficient Deep Convolution Neural Network (EDCNN), is employed to forecast wind power. A DSM scheme is formulated based on forecasted wind power, day-ahead demand and price. The proposed forecasting model’s performance was evaluated on big data of Maine wind farm ISO NE, USA.
Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2076-3417/9/20/4417/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app9204417&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 88 citations 88 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2076-3417/9/20/4417/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app9204417&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019Publisher:MDPI AG Sana Mujeeb; Turki Ali Alghamdi; Sameeh Ullah; Aisha Fatima; Nadeem Javaid; Tanzila Saba;doi: 10.3390/app9204417
Recently, power systems are facing the challenges of growing power demand, depleting fossil fuel and aggravating environmental pollution (caused by carbon emission from fossil fuel based power generation). The incorporation of alternative low carbon energy generation, i.e., Renewable Energy Sources (RESs), becomes crucial for energy systems. Effective Demand Side Management (DSM) and RES incorporation enable power systems to maintain demand, supply balance and optimize energy in an environmentally friendly manner. The wind power is a popular energy source because of its environmental and economical benefits. However, the uncertainty of wind power makes its incorporation in energy systems really difficult. To mitigate the risk of demand-supply imbalance, an accurate estimation of wind power is essential. Recognizing this challenging task, an efficient deep learning based prediction model is proposed for wind power forecasting. The proposed model has two stages. In the first stage, Wavelet Packet Transform (WPT) is used to decompose the past wind power signals. Other than decomposed signals and lagged wind power, multiple exogenous inputs (such as, calendar variable and Numerical Weather Prediction (NWP)) are also used as input to forecast wind power. In the second stage, a new prediction model, Efficient Deep Convolution Neural Network (EDCNN), is employed to forecast wind power. A DSM scheme is formulated based on forecasted wind power, day-ahead demand and price. The proposed forecasting model’s performance was evaluated on big data of Maine wind farm ISO NE, USA.
Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2076-3417/9/20/4417/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app9204417&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 88 citations 88 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2076-3417/9/20/4417/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app9204417&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Publisher:Institute of Electrical and Electronics Engineers (IEEE) Ismail Shah; Sher Akbar; Tanzila Saba; Sajid Ali; Amjad Rehman;De nos jours, la modélisation et la prévision des prix au comptant de l'électricité sont difficiles en raison de leurs caractéristiques spécifiques, notamment les saisonnalités multiples, les effets de calendrier et les valeurs extrêmes (également appelées sauts, pics ou valeurs aberrantes). Cette étude vise à fournir une analyse complète de la prévision des prix de l'électricité en comparant plusieurs techniques de filtrage des valeurs aberrantes suivies de divers cadres de modélisation. À cette fin, les valeurs extrêmes sont d'abord traitées avec cinq techniques de filtrage différentes, puis remplacées par quatre approches différentes de remplacement des valeurs aberrantes. Ensuite, la série sans pointes est divisée en composantes déterministes et stochastiques. La composante déterministe comprend la tendance à long terme, les saisonnalités annuelles et hebdomadaires et les jours fériés et est estimée par des approches paramétriques et non paramétriques. D'autre part, la composante stochastique tient compte de la dynamique à court terme des séries chronologiques de prix et est modélisée à l'aide de différents modèles univariés et multivariés. Les résultats prévisionnels hors échantillon d'un jour pour la bourse italienne de l'électricité (IPEX), obtenus pour une année entière, suggèrent que le préfiltrage des valeurs aberrantes donne un gain de précision élevé. De plus, la modélisation multivariée pour le composant stochastique surpasse les modèles univariés. Hoy en día, modelar y pronosticar los precios al contado de la electricidad es un desafío debido a sus características específicas, que incluyen múltiples estacionalidades, efectos de calendario y valores extremos (también conocidos como saltos, picos o valores atípicos). Este estudio tiene como objetivo proporcionar un análisis exhaustivo de la previsión de precios de la electricidad mediante la comparación de varias técnicas de filtrado de valores atípicos seguidas por varios marcos de modelado. Con este fin, los valores extremos se tratan primero con cinco técnicas de filtrado diferentes y luego se reemplazan por cuatro enfoques de reemplazo de valores atípicos diferentes. A continuación, la serie sin picos se divide en componentes deterministas y estocásticos. El componente determinista incluye la tendencia a largo plazo, las estacionalidades anuales y semanales y los días festivos y se estima a través de enfoques paramétricos y no paramétricos. Por otro lado, el componente estocástico representa la dinámica a corto plazo de la serie temporal de precios y se modela utilizando diferentes modelos univariados y multivariados. Los resultados del pronóstico fuera de la muestra de un día antes para el intercambio de energía italiano (IPEX), obtenidos durante todo un año, sugieren que el prefiltrado de valores atípicos da una alta ganancia de precisión. Además, el modelado multivariante para el componente estocástico supera a los modelos univariantes. Nowadays, modeling and forecasting electricity spot prices are challenging due to their specific features, including multiple seasonalities, calendar effects, and extreme values (also known as jumps, spikes, or outliers). This study aims to provide a comprehensive analysis of electricity price forecasting by comparing several outlier filtering techniques followed by various modeling frameworks. To this end, extreme values are first treated with five different filtering techniques and are then replaced by four different outlier replacement approaches. Next, the spikes-free series is divided into deterministic and stochastic components. The deterministic component includes long-term trend, yearly and weekly seasonalities, and bank holidays and is estimated through parametric and nonparametric approaches. On the other hand, the stochastic component accounts for the short-run dynamics of the price time series and is modeled using different univariate and multivariate models. The one-day-ahead out-of-sample forecast results for the Italian Power Exchange (IPEX), obtained for a whole year, suggest that the outliers pre-filtering give a high accuracy gain. In addition, multivariate modeling for the stochastic component outperforms univariate models. في الوقت الحاضر، تمثل نمذجة أسعار الكهرباء الفورية والتنبؤ بها تحديًا بسبب ميزاتها المحددة، بما في ذلك الموسمية المتعددة، وتأثيرات التقويم، والقيم المتطرفة (المعروفة أيضًا باسم القفزات أو الارتفاعات أو القيم المتطرفة). تهدف هذه الدراسة إلى تقديم تحليل شامل لتوقعات أسعار الكهرباء من خلال مقارنة العديد من تقنيات الترشيح المتطرفة التي تتبعها أطر النمذجة المختلفة. ولتحقيق هذه الغاية، يتم التعامل مع القيم المتطرفة أولاً بخمس تقنيات ترشيح مختلفة ثم يتم استبدالها بأربعة أساليب استبدال مختلفة. بعد ذلك، تنقسم السلسلة الخالية من المسامير إلى مكونات حتمية وعشوائية. يشمل المكون الحتمي الاتجاه طويل الأجل، والمواسم السنوية والأسبوعية، والعطلات الرسمية، ويتم تقديره من خلال النهج البارامترية وغير البارامترية. من ناحية أخرى، يمثل المكون العشوائي الديناميكيات قصيرة المدى للسلاسل الزمنية للسعر ويتم نمذجته باستخدام نماذج مختلفة أحادية ومتعددة المتغيرات. تشير نتائج التوقعات قبل يوم واحد خارج العينة لبورصة الطاقة الإيطالية (IPEX)، التي تم الحصول عليها لمدة عام كامل، إلى أن التصفية المسبقة للقيم المتطرفة تعطي مكاسب عالية الدقة. بالإضافة إلى ذلك، تتفوق النمذجة متعددة المتغيرات للمكون العشوائي على النماذج أحادية المتغير.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Publisher:Institute of Electrical and Electronics Engineers (IEEE) Ismail Shah; Sher Akbar; Tanzila Saba; Sajid Ali; Amjad Rehman;De nos jours, la modélisation et la prévision des prix au comptant de l'électricité sont difficiles en raison de leurs caractéristiques spécifiques, notamment les saisonnalités multiples, les effets de calendrier et les valeurs extrêmes (également appelées sauts, pics ou valeurs aberrantes). Cette étude vise à fournir une analyse complète de la prévision des prix de l'électricité en comparant plusieurs techniques de filtrage des valeurs aberrantes suivies de divers cadres de modélisation. À cette fin, les valeurs extrêmes sont d'abord traitées avec cinq techniques de filtrage différentes, puis remplacées par quatre approches différentes de remplacement des valeurs aberrantes. Ensuite, la série sans pointes est divisée en composantes déterministes et stochastiques. La composante déterministe comprend la tendance à long terme, les saisonnalités annuelles et hebdomadaires et les jours fériés et est estimée par des approches paramétriques et non paramétriques. D'autre part, la composante stochastique tient compte de la dynamique à court terme des séries chronologiques de prix et est modélisée à l'aide de différents modèles univariés et multivariés. Les résultats prévisionnels hors échantillon d'un jour pour la bourse italienne de l'électricité (IPEX), obtenus pour une année entière, suggèrent que le préfiltrage des valeurs aberrantes donne un gain de précision élevé. De plus, la modélisation multivariée pour le composant stochastique surpasse les modèles univariés. Hoy en día, modelar y pronosticar los precios al contado de la electricidad es un desafío debido a sus características específicas, que incluyen múltiples estacionalidades, efectos de calendario y valores extremos (también conocidos como saltos, picos o valores atípicos). Este estudio tiene como objetivo proporcionar un análisis exhaustivo de la previsión de precios de la electricidad mediante la comparación de varias técnicas de filtrado de valores atípicos seguidas por varios marcos de modelado. Con este fin, los valores extremos se tratan primero con cinco técnicas de filtrado diferentes y luego se reemplazan por cuatro enfoques de reemplazo de valores atípicos diferentes. A continuación, la serie sin picos se divide en componentes deterministas y estocásticos. El componente determinista incluye la tendencia a largo plazo, las estacionalidades anuales y semanales y los días festivos y se estima a través de enfoques paramétricos y no paramétricos. Por otro lado, el componente estocástico representa la dinámica a corto plazo de la serie temporal de precios y se modela utilizando diferentes modelos univariados y multivariados. Los resultados del pronóstico fuera de la muestra de un día antes para el intercambio de energía italiano (IPEX), obtenidos durante todo un año, sugieren que el prefiltrado de valores atípicos da una alta ganancia de precisión. Además, el modelado multivariante para el componente estocástico supera a los modelos univariantes. Nowadays, modeling and forecasting electricity spot prices are challenging due to their specific features, including multiple seasonalities, calendar effects, and extreme values (also known as jumps, spikes, or outliers). This study aims to provide a comprehensive analysis of electricity price forecasting by comparing several outlier filtering techniques followed by various modeling frameworks. To this end, extreme values are first treated with five different filtering techniques and are then replaced by four different outlier replacement approaches. Next, the spikes-free series is divided into deterministic and stochastic components. The deterministic component includes long-term trend, yearly and weekly seasonalities, and bank holidays and is estimated through parametric and nonparametric approaches. On the other hand, the stochastic component accounts for the short-run dynamics of the price time series and is modeled using different univariate and multivariate models. The one-day-ahead out-of-sample forecast results for the Italian Power Exchange (IPEX), obtained for a whole year, suggest that the outliers pre-filtering give a high accuracy gain. In addition, multivariate modeling for the stochastic component outperforms univariate models. في الوقت الحاضر، تمثل نمذجة أسعار الكهرباء الفورية والتنبؤ بها تحديًا بسبب ميزاتها المحددة، بما في ذلك الموسمية المتعددة، وتأثيرات التقويم، والقيم المتطرفة (المعروفة أيضًا باسم القفزات أو الارتفاعات أو القيم المتطرفة). تهدف هذه الدراسة إلى تقديم تحليل شامل لتوقعات أسعار الكهرباء من خلال مقارنة العديد من تقنيات الترشيح المتطرفة التي تتبعها أطر النمذجة المختلفة. ولتحقيق هذه الغاية، يتم التعامل مع القيم المتطرفة أولاً بخمس تقنيات ترشيح مختلفة ثم يتم استبدالها بأربعة أساليب استبدال مختلفة. بعد ذلك، تنقسم السلسلة الخالية من المسامير إلى مكونات حتمية وعشوائية. يشمل المكون الحتمي الاتجاه طويل الأجل، والمواسم السنوية والأسبوعية، والعطلات الرسمية، ويتم تقديره من خلال النهج البارامترية وغير البارامترية. من ناحية أخرى، يمثل المكون العشوائي الديناميكيات قصيرة المدى للسلاسل الزمنية للسعر ويتم نمذجته باستخدام نماذج مختلفة أحادية ومتعددة المتغيرات. تشير نتائج التوقعات قبل يوم واحد خارج العينة لبورصة الطاقة الإيطالية (IPEX)، التي تم الحصول عليها لمدة عام كامل، إلى أن التصفية المسبقة للقيم المتطرفة تعطي مكاسب عالية الدقة. بالإضافة إلى ذلك، تتفوق النمذجة متعددة المتغيرات للمكون العشوائي على النماذج أحادية المتغير.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 30 citations 30 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:Institute of Electrical and Electronics Engineers (IEEE) Zahoor Ali Khan; Adia Khalid; Nadeem Javaid; Abdul Haseeb; Tanzila Saba; Muhammad Shafiq;La demande croissante de charge dans les zones résidentielles et le profil de charge électrique irrégulier nous ont encouragés à proposer un système de gestion de l'énergie domestique (HEMS) efficace pour une planification optimale des appareils électroménagers. Nous proposons une solution basée sur l'optimisation multi-objectifs qui déplace la charge électrique des heures de pointe aux heures creuses en fonction de la courbe de charge objective définie pour l'électricité. Il vise à gérer le compromis entre des objectifs contradictoires : facture d'électricité, temps d'attente des appareils et déplacement de la charge électrique en fonction du schéma de charge électrique défini. Le modèle de charge électrique défini aide à équilibrer la charge pendant les heures de pointe et les heures creuses. De plus, pour le rééchelonnement en temps réel, le concept de coordination entre les appareils ménagers est présenté. Cela aide le planificateur à décider de manière optimale de l'état ON/OFF des appareils afin de réduire le temps d'attente de l'appareil. Alors que les consommateurs d'électricité ont une nature stochastique, pour laquelle les techniques d'optimisation inspirées de la nature fournissent une solution optimale. Pour une planification optimale, nous avons proposé deux techniques d'optimisation : l'optimisation binaire multi-objectifs des essaims d'oiseaux et un hybride d'essaims d'oiseaux et d'algorithmes de recherche de coucous pour obtenir le front de Pareto. De plus, la programmation dynamique est utilisée pour permettre la coordination entre les appareils afin que la planification en temps réel puisse être effectuée par le planificateur à la demande de l'utilisateur. Pour valider la performance des techniques d'optimisation basées sur la nature proposées, nous comparons les résultats des schémas proposés avec les techniques existantes telles que l'optimisation d'essaims de particules binaires multi-objectifs et les algorithmes de recherche de coucous multi-objectifs. Les résultats de la simulation valident les performances des techniques proposées en termes de réduction des coûts d'électricité, de rapport pic/moyenne et de minimisation des temps d'attente. En outre, des fonctions de test pour le front de Pareto convexe, non convexe et discontinu sont mises en œuvre pour prouver l'efficacité des techniques proposées. La creciente demanda de carga en el área residencial y el perfil irregular de la carga eléctrica nos animaron a proponer un Sistema de Gestión de Energía Doméstica (HEMS) eficiente para una programación óptima de los electrodomésticos. Proponemos una solución basada en la optimización multiobjetivo que desplaza la carga eléctrica de las horas punta a las horas valle de acuerdo con la curva de carga objetiva definida para la electricidad. Su objetivo es gestionar el equilibrio entre los objetivos en conflicto: la factura de electricidad, el tiempo de espera de los electrodomésticos y el desplazamiento de la carga de electricidad de acuerdo con el patrón de carga de electricidad definido. El patrón de carga de electricidad definido ayuda a equilibrar la carga durante las horas pico y baja. Además, para la reprogramación en tiempo real, se presenta el concepto de coordinación entre electrodomésticos. Esto ayuda al programador a decidir de manera óptima el estado de encendido/apagado de los electrodomésticos para reducir el tiempo de espera del electrodoméstico. Considerando que, los consumidores de electricidad tienen una naturaleza estocástica, para lo cual, las técnicas de optimización inspiradas en la naturaleza proporcionan una solución óptima. Para una programación óptima, propusimos dos técnicas de optimización: la optimización binaria de enjambres de aves multiobjetivo y un híbrido de algoritmos de búsqueda de enjambres de aves y cucos para obtener el frente de Pareto. Además, la programación dinámica se utiliza para permitir la coordinación entre los dispositivos, de modo que el programador pueda realizar la programación en tiempo real a petición del usuario. Para validar el rendimiento de las técnicas de optimización basadas en la naturaleza propuestas, comparamos los resultados de los esquemas propuestos con las técnicas existentes, como la optimización de enjambres de partículas binarias multiobjetivo y los algoritmos de búsqueda de cucos multiobjetivo. Los resultados de la simulación validan el rendimiento de las técnicas propuestas en términos de reducción de costos de electricidad, relación pico a promedio y minimización del tiempo de espera. Además, se implementan funciones de prueba para el frente de Pareto convexo, no convexo y discontinuo para demostrar la eficacia de las técnicas propuestas. The increasing load demand in residential area and irregular electricity load profile encouraged us to propose an efficient Home Energy Management System (HEMS) for optimal scheduling of home appliances. We propose a multi-objective optimization based solution that shifts the electricity load from On-peak to Off-peak hours according to the defined objective load curve for electricity. It aims to manage the trade-off between conflicting objectives: electricity bill, waiting time of appliances and electricity load shifting according to the defined electricity load pattern. The defined electricity load pattern helps in balancing the load during On-peak and Off-peak hours. Moreover, for real-time rescheduling, concept of coordination among home appliances is presented. This helps the scheduler to optimally decide the ON/OFF status of appliances to reduce the waiting time of the appliance. Whereas, electricity consumers have stochastic nature, for which, nature-inspired optimization techniques provide optimal solution. For optimal scheduling, we proposed two optimization techniques: binary multi-objective bird swarm optimization and a hybrid of bird swarm and cuckoo search algorithms to obtain the Pareto front. Moreover, dynamic programming is used to enable coordination among the appliances so that real-time scheduling can be performed by the scheduler on user's demand. To validate the performance of the proposed nature-based optimization techniques, we compare the results of proposed schemes with existing techniques such as multi-objective binary particle swarm optimization and multi-objective cuckoo search algorithms. Simulation results validate the performance of proposed techniques in terms of electricity cost reduction, peak to average ratio and waiting time minimization. Also, test functions for convex, non-convex and discontinuous Pareto front are implemented to prove the efficacy of proposed techniques. شجعنا الطلب المتزايد على الحمولة في المنطقة السكنية وملف تعريف حمل الكهرباء غير المنتظم على اقتراح نظام فعال لإدارة الطاقة المنزلية (HEMS) من أجل الجدولة المثلى للأجهزة المنزلية. نقترح حلاً قائمًا على التحسين متعدد الأهداف ينقل حمل الكهرباء من ساعات الذروة إلى ساعات خارج الذروة وفقًا لمنحنى الحمل الموضوعي المحدد للكهرباء. ويهدف إلى إدارة المفاضلة بين الأهداف المتضاربة: فاتورة الكهرباء ووقت انتظار الأجهزة وتحويل حمل الكهرباء وفقًا لنمط حمل الكهرباء المحدد. يساعد نمط حمل الكهرباء المحدد في موازنة الحمل أثناء ساعات الذروة وخارج ساعات الذروة. علاوة على ذلك، لإعادة الجدولة في الوقت الفعلي، يتم تقديم مفهوم التنسيق بين الأجهزة المنزلية. يساعد هذا المجدول على تحديد حالة تشغيل/إيقاف تشغيل الأجهزة على النحو الأمثل لتقليل وقت انتظار الجهاز. في حين أن مستهلكي الكهرباء لديهم طبيعة عشوائية، والتي توفر لها تقنيات التحسين المستوحاة من الطبيعة الحل الأمثل. من أجل الجدولة المثلى، اقترحنا تقنيتين للتحسين: التحسين الثنائي متعدد الأهداف لأسراب الطيور وهجين من خوارزميات البحث عن أسراب الطيور والوقواق للحصول على واجهة باريتو. علاوة على ذلك، يتم استخدام البرمجة الديناميكية لتمكين التنسيق بين الأجهزة بحيث يمكن تنفيذ الجدولة في الوقت الفعلي بواسطة المجدول بناءً على طلب المستخدم. للتحقق من صحة أداء تقنيات التحسين المقترحة القائمة على الطبيعة، نقارن نتائج المخططات المقترحة مع التقنيات الحالية مثل تحسين سرب الجسيمات الثنائية متعددة الأهداف وخوارزميات البحث عن الوقواق متعددة الأهداف. تتحقق نتائج المحاكاة من أداء التقنيات المقترحة من حيث خفض تكلفة الكهرباء، ونسبة الذروة إلى المتوسط وتقليل وقت الانتظار. كما يتم تنفيذ وظائف الاختبار لجبهة باريتو المحدبة وغير المحدبة والمتقطعة لإثبات فعالية التقنيات المقترحة.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 38 citations 38 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:Institute of Electrical and Electronics Engineers (IEEE) Zahoor Ali Khan; Adia Khalid; Nadeem Javaid; Abdul Haseeb; Tanzila Saba; Muhammad Shafiq;La demande croissante de charge dans les zones résidentielles et le profil de charge électrique irrégulier nous ont encouragés à proposer un système de gestion de l'énergie domestique (HEMS) efficace pour une planification optimale des appareils électroménagers. Nous proposons une solution basée sur l'optimisation multi-objectifs qui déplace la charge électrique des heures de pointe aux heures creuses en fonction de la courbe de charge objective définie pour l'électricité. Il vise à gérer le compromis entre des objectifs contradictoires : facture d'électricité, temps d'attente des appareils et déplacement de la charge électrique en fonction du schéma de charge électrique défini. Le modèle de charge électrique défini aide à équilibrer la charge pendant les heures de pointe et les heures creuses. De plus, pour le rééchelonnement en temps réel, le concept de coordination entre les appareils ménagers est présenté. Cela aide le planificateur à décider de manière optimale de l'état ON/OFF des appareils afin de réduire le temps d'attente de l'appareil. Alors que les consommateurs d'électricité ont une nature stochastique, pour laquelle les techniques d'optimisation inspirées de la nature fournissent une solution optimale. Pour une planification optimale, nous avons proposé deux techniques d'optimisation : l'optimisation binaire multi-objectifs des essaims d'oiseaux et un hybride d'essaims d'oiseaux et d'algorithmes de recherche de coucous pour obtenir le front de Pareto. De plus, la programmation dynamique est utilisée pour permettre la coordination entre les appareils afin que la planification en temps réel puisse être effectuée par le planificateur à la demande de l'utilisateur. Pour valider la performance des techniques d'optimisation basées sur la nature proposées, nous comparons les résultats des schémas proposés avec les techniques existantes telles que l'optimisation d'essaims de particules binaires multi-objectifs et les algorithmes de recherche de coucous multi-objectifs. Les résultats de la simulation valident les performances des techniques proposées en termes de réduction des coûts d'électricité, de rapport pic/moyenne et de minimisation des temps d'attente. En outre, des fonctions de test pour le front de Pareto convexe, non convexe et discontinu sont mises en œuvre pour prouver l'efficacité des techniques proposées. La creciente demanda de carga en el área residencial y el perfil irregular de la carga eléctrica nos animaron a proponer un Sistema de Gestión de Energía Doméstica (HEMS) eficiente para una programación óptima de los electrodomésticos. Proponemos una solución basada en la optimización multiobjetivo que desplaza la carga eléctrica de las horas punta a las horas valle de acuerdo con la curva de carga objetiva definida para la electricidad. Su objetivo es gestionar el equilibrio entre los objetivos en conflicto: la factura de electricidad, el tiempo de espera de los electrodomésticos y el desplazamiento de la carga de electricidad de acuerdo con el patrón de carga de electricidad definido. El patrón de carga de electricidad definido ayuda a equilibrar la carga durante las horas pico y baja. Además, para la reprogramación en tiempo real, se presenta el concepto de coordinación entre electrodomésticos. Esto ayuda al programador a decidir de manera óptima el estado de encendido/apagado de los electrodomésticos para reducir el tiempo de espera del electrodoméstico. Considerando que, los consumidores de electricidad tienen una naturaleza estocástica, para lo cual, las técnicas de optimización inspiradas en la naturaleza proporcionan una solución óptima. Para una programación óptima, propusimos dos técnicas de optimización: la optimización binaria de enjambres de aves multiobjetivo y un híbrido de algoritmos de búsqueda de enjambres de aves y cucos para obtener el frente de Pareto. Además, la programación dinámica se utiliza para permitir la coordinación entre los dispositivos, de modo que el programador pueda realizar la programación en tiempo real a petición del usuario. Para validar el rendimiento de las técnicas de optimización basadas en la naturaleza propuestas, comparamos los resultados de los esquemas propuestos con las técnicas existentes, como la optimización de enjambres de partículas binarias multiobjetivo y los algoritmos de búsqueda de cucos multiobjetivo. Los resultados de la simulación validan el rendimiento de las técnicas propuestas en términos de reducción de costos de electricidad, relación pico a promedio y minimización del tiempo de espera. Además, se implementan funciones de prueba para el frente de Pareto convexo, no convexo y discontinuo para demostrar la eficacia de las técnicas propuestas. The increasing load demand in residential area and irregular electricity load profile encouraged us to propose an efficient Home Energy Management System (HEMS) for optimal scheduling of home appliances. We propose a multi-objective optimization based solution that shifts the electricity load from On-peak to Off-peak hours according to the defined objective load curve for electricity. It aims to manage the trade-off between conflicting objectives: electricity bill, waiting time of appliances and electricity load shifting according to the defined electricity load pattern. The defined electricity load pattern helps in balancing the load during On-peak and Off-peak hours. Moreover, for real-time rescheduling, concept of coordination among home appliances is presented. This helps the scheduler to optimally decide the ON/OFF status of appliances to reduce the waiting time of the appliance. Whereas, electricity consumers have stochastic nature, for which, nature-inspired optimization techniques provide optimal solution. For optimal scheduling, we proposed two optimization techniques: binary multi-objective bird swarm optimization and a hybrid of bird swarm and cuckoo search algorithms to obtain the Pareto front. Moreover, dynamic programming is used to enable coordination among the appliances so that real-time scheduling can be performed by the scheduler on user's demand. To validate the performance of the proposed nature-based optimization techniques, we compare the results of proposed schemes with existing techniques such as multi-objective binary particle swarm optimization and multi-objective cuckoo search algorithms. Simulation results validate the performance of proposed techniques in terms of electricity cost reduction, peak to average ratio and waiting time minimization. Also, test functions for convex, non-convex and discontinuous Pareto front are implemented to prove the efficacy of proposed techniques. شجعنا الطلب المتزايد على الحمولة في المنطقة السكنية وملف تعريف حمل الكهرباء غير المنتظم على اقتراح نظام فعال لإدارة الطاقة المنزلية (HEMS) من أجل الجدولة المثلى للأجهزة المنزلية. نقترح حلاً قائمًا على التحسين متعدد الأهداف ينقل حمل الكهرباء من ساعات الذروة إلى ساعات خارج الذروة وفقًا لمنحنى الحمل الموضوعي المحدد للكهرباء. ويهدف إلى إدارة المفاضلة بين الأهداف المتضاربة: فاتورة الكهرباء ووقت انتظار الأجهزة وتحويل حمل الكهرباء وفقًا لنمط حمل الكهرباء المحدد. يساعد نمط حمل الكهرباء المحدد في موازنة الحمل أثناء ساعات الذروة وخارج ساعات الذروة. علاوة على ذلك، لإعادة الجدولة في الوقت الفعلي، يتم تقديم مفهوم التنسيق بين الأجهزة المنزلية. يساعد هذا المجدول على تحديد حالة تشغيل/إيقاف تشغيل الأجهزة على النحو الأمثل لتقليل وقت انتظار الجهاز. في حين أن مستهلكي الكهرباء لديهم طبيعة عشوائية، والتي توفر لها تقنيات التحسين المستوحاة من الطبيعة الحل الأمثل. من أجل الجدولة المثلى، اقترحنا تقنيتين للتحسين: التحسين الثنائي متعدد الأهداف لأسراب الطيور وهجين من خوارزميات البحث عن أسراب الطيور والوقواق للحصول على واجهة باريتو. علاوة على ذلك، يتم استخدام البرمجة الديناميكية لتمكين التنسيق بين الأجهزة بحيث يمكن تنفيذ الجدولة في الوقت الفعلي بواسطة المجدول بناءً على طلب المستخدم. للتحقق من صحة أداء تقنيات التحسين المقترحة القائمة على الطبيعة، نقارن نتائج المخططات المقترحة مع التقنيات الحالية مثل تحسين سرب الجسيمات الثنائية متعددة الأهداف وخوارزميات البحث عن الوقواق متعددة الأهداف. تتحقق نتائج المحاكاة من أداء التقنيات المقترحة من حيث خفض تكلفة الكهرباء، ونسبة الذروة إلى المتوسط وتقليل وقت الانتظار. كما يتم تنفيذ وظائف الاختبار لجبهة باريتو المحدبة وغير المحدبة والمتقطعة لإثبات فعالية التقنيات المقترحة.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 38 citations 38 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2025Embargo end date: 31 Jan 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE) Amjad Rehman Khan; Kamran Ahmad Awan; Fahad F. Alruwaili; Anees Ara; Houbing Herbert Song; Tanzila Saba;The prompt expansion of IoT devices necessitates advanced security frameworks to protect data integrity, confidentiality, and availability in resource-constrained environments. Traditional security solutions are often resource-intensive for IoT devices with limited computational power and energy resources. This study addresses these inadequacies by proposing a novel approach formulated to such constraints. This study propose the Trust-Enhanced Lightweight Security Framework (?SF), integrating two novel components: the Adaptive Lightweight Encryption Algorithm (ALEA) and the Trust-Aware Data Protection Model (TADPM). ALEA employs dynamic key generation through a lightweight hash function, ensuring unique and regularly updated encryption keys based on device context and behavior. TADPM enhances this framework by continuously assessing device trustworthiness through direct interactions, aggregated feedback from neighboring devices, and contextual parameters such as location and device capabilities. Performance evaluations demonstrate that ?SF significantly enhances security and operational efficiency, reducing computational overhead by 18%, improving energy efficiency by 20%, and increasing data transmission security by 10% compared to existing solutions.
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2025 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2025 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jiot.2024.3514374&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2025Embargo end date: 31 Jan 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE) Amjad Rehman Khan; Kamran Ahmad Awan; Fahad F. Alruwaili; Anees Ara; Houbing Herbert Song; Tanzila Saba;The prompt expansion of IoT devices necessitates advanced security frameworks to protect data integrity, confidentiality, and availability in resource-constrained environments. Traditional security solutions are often resource-intensive for IoT devices with limited computational power and energy resources. This study addresses these inadequacies by proposing a novel approach formulated to such constraints. This study propose the Trust-Enhanced Lightweight Security Framework (?SF), integrating two novel components: the Adaptive Lightweight Encryption Algorithm (ALEA) and the Trust-Aware Data Protection Model (TADPM). ALEA employs dynamic key generation through a lightweight hash function, ensuring unique and regularly updated encryption keys based on device context and behavior. TADPM enhances this framework by continuously assessing device trustworthiness through direct interactions, aggregated feedback from neighboring devices, and contextual parameters such as location and device capabilities. Performance evaluations demonstrate that ?SF significantly enhances security and operational efficiency, reducing computational overhead by 18%, improving energy efficiency by 20%, and increasing data transmission security by 10% compared to existing solutions.
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2025 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jiot.2024.3514374&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/jiot.2...Article . 2025 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jiot.2024.3514374&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020Publisher:MDPI AG Tanzila Saba; Khalid Haseeb; Ikram Ud Din; Ahmad Almogren; Ayman Altameem; Suliman Mohamed Fati;doi: 10.3390/en13164072
In recent times, the field of wireless sensor networks (WSNs) has attained a growing popularity in observing the environment due to its dynamic factors. Sensor data are gathered and forwarded to the base station (BS) through a wireless transmission medium. The data from the BS is further distributed to end-users using the Internet for their post analysis and operations. However, all sensors except the BS have limited constraints in terms of memory, energy and computational resources that degrade the network performance concerning the network lifetime and trustworthy routing. Therefore, improving energy efficiency with reliable and secure transmissions is a valuable debate among researchers for critical applications based on low-powered sensor nodes. In addition, security plays a significant cause to achieve responsible communications among sensors due to their unfixed and variable infrastructures. Keeping in view the above-mentioned issues, this paper presents an energy-aware graph clustering and intelligent routing (EGCIR) using a supervised system for WSNs to balance the energy consumption and load distribution. Moreover, a secure and efficient key distribution in a hierarchy-based mechanism is adopted by the proposed solution to improve the network efficacy in terms of routes and links integrity. The experimental results demonstrated that the EGCIR protocol enhances the network throughput by an average of 14%, packet drop ratio by an average of 50%, energy consumption by an average of 13%, data latency by an average of 30.2% and data breaches by an average of 37.5% than other state-of-the-art protocols.
Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/16/4072/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 17 citations 17 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/16/4072/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13164072&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020Publisher:MDPI AG Tanzila Saba; Khalid Haseeb; Ikram Ud Din; Ahmad Almogren; Ayman Altameem; Suliman Mohamed Fati;doi: 10.3390/en13164072
In recent times, the field of wireless sensor networks (WSNs) has attained a growing popularity in observing the environment due to its dynamic factors. Sensor data are gathered and forwarded to the base station (BS) through a wireless transmission medium. The data from the BS is further distributed to end-users using the Internet for their post analysis and operations. However, all sensors except the BS have limited constraints in terms of memory, energy and computational resources that degrade the network performance concerning the network lifetime and trustworthy routing. Therefore, improving energy efficiency with reliable and secure transmissions is a valuable debate among researchers for critical applications based on low-powered sensor nodes. In addition, security plays a significant cause to achieve responsible communications among sensors due to their unfixed and variable infrastructures. Keeping in view the above-mentioned issues, this paper presents an energy-aware graph clustering and intelligent routing (EGCIR) using a supervised system for WSNs to balance the energy consumption and load distribution. Moreover, a secure and efficient key distribution in a hierarchy-based mechanism is adopted by the proposed solution to improve the network efficacy in terms of routes and links integrity. The experimental results demonstrated that the EGCIR protocol enhances the network throughput by an average of 14%, packet drop ratio by an average of 50%, energy consumption by an average of 13%, data latency by an average of 30.2% and data breaches by an average of 37.5% than other state-of-the-art protocols.
Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/16/4072/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13164072&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 17 citations 17 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/1996-1073/13/16/4072/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en13164072&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:Institute of Electrical and Electronics Engineers (IEEE) Ali Raza Bhangwar; Adnan Ahmed; Umair Ali Khan; Tanzila Saba; Khaled Mellouli; Khalid Haseeb; Naveed Islam;Les progrès technologiques dans la communication sans fil et la miniaturisation des nœuds de capteurs ont abouti au développement de réseaux de capteurs médicaux sans fil (WMSN) qui peuvent être utilisés efficacement pour la surveillance à distance des patients. La surveillance à distance des patients est l'une de ces applications des réseaux de capteurs sans fil qui est de plus en plus répandue dans les soins de santé. Les applications de soins de santé des WMSN sont sensibles au retard et nécessitent la livraison en temps opportun des données critiques pour le patient. Cependant, l'échange fréquent de paquets de données critiques entraîne des retards, des collisions, des pertes de paquets et des retransmissions plus importants. Par conséquent, cela a un impact négatif sur les performances des WMSN. De plus, les nœuds de capteurs biomédicaux implantés produisent des rayonnements électromagnétiques, ce qui constitue une menace sérieuse d'endommager les tissus sensibles du corps humain. La protection des tissus endommagés nécessite des protocoles de routage sensibles à la chaleur. Cependant, la plupart des protocoles de routage sensibles à la chaleur développés pour les WBSN se sont principalement concentrés sur la minimisation de la température, tout en négligeant l'objectif de conservation de l'énergie et l'optimisation de la sélection de l'itinéraire. Dans cet article, nous proposons un protocole de routage pondéré, basé sur la QoS, sensible à l'énergie et à la température, appelé (WETRP), pour les WMSN qui utilise une métrique de routage composite en gardant à l'esprit la température, l'énergie restante du nœud et l'estimation du retard de liaison lors des décisions de sélection d'itinéraire. Les résultats de simulation présentés dans l'article démontrent l'efficacité du schéma proposé en termes de prévention de l'augmentation de la température, de traitement des nœuds de points chauds et de maximisation de la durée de vie du réseau. Los avances tecnológicos en la comunicación inalámbrica y la miniaturización de los nodos de sensores han dado como resultado el desarrollo de redes inalámbricas de sensores médicos (WMSN) que se pueden utilizar de manera efectiva para el monitoreo remoto de pacientes. La monitorización remota de pacientes es una de esas aplicaciones de redes de sensores inalámbricos que se está volviendo cada vez más frecuente en la atención médica. Las aplicaciones sanitarias de las WMSN son sensibles a los retrasos y requieren la entrega oportuna de datos críticos para el paciente. Sin embargo, el intercambio frecuente de paquetes de datos críticos da como resultado mayores retrasos, colisiones, caída de paquetes y retransmisiones. En consecuencia, tiene un impacto perjudicial en el rendimiento de las WMSN. Además, los nodos de sensores biomédicos implantados producen radiaciones electromagnéticas y representan una grave amenaza de dañar los tejidos sensibles del cuerpo humano. La protección del daño tisular requiere protocolos de enrutamiento con conocimiento térmico. Sin embargo, la mayoría de los protocolos de enrutamiento térmicos desarrollados para las WBSN se centraron principalmente en minimizar la temperatura, sin tener en cuenta el objetivo de ahorro de energía y la optimización de la selección de rutas. En este documento, proponemos un protocolo de enrutamiento ponderado, basado en QoS, consciente de la energía y la temperatura, denominado (WETRP), para las WMSN que utiliza una métrica de enrutamiento compuesta al mantener a la vista la temperatura, la energía restante del nodo y la estimación del retardo de enlace durante las decisiones de selección de ruta. Los resultados de la simulación presentados en el documento demuestran la eficacia del esquema propuesto en términos de prevención del aumento de la temperatura, tratamiento de los nodos de puntos de acceso y maximización de la vida útil de la red. The technological advancements in wireless communication and miniaturization of sensor nodes have resulted in the development of Wireless Medical Sensor Networks (WMSNs) which can be effectively used for remote patient monitoring. Remote patient monitoring is one such application of wireless sensor networks which is becoming increasingly prevalent in healthcare. The healthcare applications of the WMSNs are delay-sensitive and require timely delivery of patient-critical data. However, the frequent exchange of critical data packets results in higher delays, collisions, packet drop, and re-transmissions. Consequently, it brings a detrimental impact on the performance of the WMSNs. In addition, the implanted biomedical sensor nodes produce electromagnetic radiations, pose a serious threat of damaging sensitive tissues in the human body. Protecting tissue damage requires thermal-aware routing protocols. However, most of the thermal-aware routing protocols developed for the WBSNs primarily focused on minimizing temperature, while overlooking the energy conservation goal and optimization of route selection. In this paper, we propose a weighted, QoS-based, energy and temperature-aware routing protocol, referred to as (WETRP), for the WMSNs that utilizes a composite routing metric by keeping in view temperature, remaining node energy, and link-delay estimation during route selection decisions. The simulation results presented in the paper demonstrates the efficacy of the proposed scheme in terms of preventing temperature rise, dealing with hotspot nodes, and maximizing network's lifetime. أدت التطورات التكنولوجية في الاتصالات اللاسلكية وتصغير عقد المستشعر إلى تطوير شبكات المستشعرات الطبية اللاسلكية (WMSNs) التي يمكن استخدامها بفعالية لمراقبة المرضى عن بُعد. مراقبة المرضى عن بعد هي أحد هذه التطبيقات لشبكات الاستشعار اللاسلكية التي أصبحت منتشرة بشكل متزايد في مجال الرعاية الصحية. تطبيقات الرعاية الصحية لـ WMSNs حساسة للتأخير وتتطلب تسليم البيانات الحرجة للمريض في الوقت المناسب. ومع ذلك، فإن التبادل المتكرر لحزم البيانات الحرجة يؤدي إلى تأخيرات أعلى وتصادمات وإسقاط الحزم وإعادة الإرسال. وبالتالي، فإنه يجلب تأثيرًا ضارًا على أداء WMSNs. بالإضافة إلى ذلك، تنتج عقد المستشعر الطبي الحيوي المزروعة إشعاعات كهرومغناطيسية، وتشكل تهديدًا خطيرًا لتلف الأنسجة الحساسة في جسم الإنسان. تتطلب حماية تلف الأنسجة بروتوكولات توجيه مدركة للحرارة. ومع ذلك، فإن معظم بروتوكولات التوجيه الواعية للحرارة التي تم تطويرها لـ WBSNs ركزت في المقام الأول على تقليل درجة الحرارة، مع التغاضي عن هدف الحفاظ على الطاقة وتحسين اختيار المسار. في هذه الورقة، نقترح بروتوكول توجيه مرجح، قائم على جودة الخدمة، للطاقة ودرجة الحرارة، يشار إليه باسم (WETRP)، لـ WMSNs التي تستخدم مقياس توجيه مركب من خلال الحفاظ على درجة حرارة العرض، وطاقة العقدة المتبقية، وتقدير تأخير الارتباط أثناء قرارات اختيار المسار. توضح نتائج المحاكاة المقدمة في الورقة فعالية المخطط المقترح من حيث منع ارتفاع درجة الحرارة، والتعامل مع عقد النقاط الساخنة، وتعظيم عمر الشبكة.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:Institute of Electrical and Electronics Engineers (IEEE) Ali Raza Bhangwar; Adnan Ahmed; Umair Ali Khan; Tanzila Saba; Khaled Mellouli; Khalid Haseeb; Naveed Islam;Les progrès technologiques dans la communication sans fil et la miniaturisation des nœuds de capteurs ont abouti au développement de réseaux de capteurs médicaux sans fil (WMSN) qui peuvent être utilisés efficacement pour la surveillance à distance des patients. La surveillance à distance des patients est l'une de ces applications des réseaux de capteurs sans fil qui est de plus en plus répandue dans les soins de santé. Les applications de soins de santé des WMSN sont sensibles au retard et nécessitent la livraison en temps opportun des données critiques pour le patient. Cependant, l'échange fréquent de paquets de données critiques entraîne des retards, des collisions, des pertes de paquets et des retransmissions plus importants. Par conséquent, cela a un impact négatif sur les performances des WMSN. De plus, les nœuds de capteurs biomédicaux implantés produisent des rayonnements électromagnétiques, ce qui constitue une menace sérieuse d'endommager les tissus sensibles du corps humain. La protection des tissus endommagés nécessite des protocoles de routage sensibles à la chaleur. Cependant, la plupart des protocoles de routage sensibles à la chaleur développés pour les WBSN se sont principalement concentrés sur la minimisation de la température, tout en négligeant l'objectif de conservation de l'énergie et l'optimisation de la sélection de l'itinéraire. Dans cet article, nous proposons un protocole de routage pondéré, basé sur la QoS, sensible à l'énergie et à la température, appelé (WETRP), pour les WMSN qui utilise une métrique de routage composite en gardant à l'esprit la température, l'énergie restante du nœud et l'estimation du retard de liaison lors des décisions de sélection d'itinéraire. Les résultats de simulation présentés dans l'article démontrent l'efficacité du schéma proposé en termes de prévention de l'augmentation de la température, de traitement des nœuds de points chauds et de maximisation de la durée de vie du réseau. Los avances tecnológicos en la comunicación inalámbrica y la miniaturización de los nodos de sensores han dado como resultado el desarrollo de redes inalámbricas de sensores médicos (WMSN) que se pueden utilizar de manera efectiva para el monitoreo remoto de pacientes. La monitorización remota de pacientes es una de esas aplicaciones de redes de sensores inalámbricos que se está volviendo cada vez más frecuente en la atención médica. Las aplicaciones sanitarias de las WMSN son sensibles a los retrasos y requieren la entrega oportuna de datos críticos para el paciente. Sin embargo, el intercambio frecuente de paquetes de datos críticos da como resultado mayores retrasos, colisiones, caída de paquetes y retransmisiones. En consecuencia, tiene un impacto perjudicial en el rendimiento de las WMSN. Además, los nodos de sensores biomédicos implantados producen radiaciones electromagnéticas y representan una grave amenaza de dañar los tejidos sensibles del cuerpo humano. La protección del daño tisular requiere protocolos de enrutamiento con conocimiento térmico. Sin embargo, la mayoría de los protocolos de enrutamiento térmicos desarrollados para las WBSN se centraron principalmente en minimizar la temperatura, sin tener en cuenta el objetivo de ahorro de energía y la optimización de la selección de rutas. En este documento, proponemos un protocolo de enrutamiento ponderado, basado en QoS, consciente de la energía y la temperatura, denominado (WETRP), para las WMSN que utiliza una métrica de enrutamiento compuesta al mantener a la vista la temperatura, la energía restante del nodo y la estimación del retardo de enlace durante las decisiones de selección de ruta. Los resultados de la simulación presentados en el documento demuestran la eficacia del esquema propuesto en términos de prevención del aumento de la temperatura, tratamiento de los nodos de puntos de acceso y maximización de la vida útil de la red. The technological advancements in wireless communication and miniaturization of sensor nodes have resulted in the development of Wireless Medical Sensor Networks (WMSNs) which can be effectively used for remote patient monitoring. Remote patient monitoring is one such application of wireless sensor networks which is becoming increasingly prevalent in healthcare. The healthcare applications of the WMSNs are delay-sensitive and require timely delivery of patient-critical data. However, the frequent exchange of critical data packets results in higher delays, collisions, packet drop, and re-transmissions. Consequently, it brings a detrimental impact on the performance of the WMSNs. In addition, the implanted biomedical sensor nodes produce electromagnetic radiations, pose a serious threat of damaging sensitive tissues in the human body. Protecting tissue damage requires thermal-aware routing protocols. However, most of the thermal-aware routing protocols developed for the WBSNs primarily focused on minimizing temperature, while overlooking the energy conservation goal and optimization of route selection. In this paper, we propose a weighted, QoS-based, energy and temperature-aware routing protocol, referred to as (WETRP), for the WMSNs that utilizes a composite routing metric by keeping in view temperature, remaining node energy, and link-delay estimation during route selection decisions. The simulation results presented in the paper demonstrates the efficacy of the proposed scheme in terms of preventing temperature rise, dealing with hotspot nodes, and maximizing network's lifetime. أدت التطورات التكنولوجية في الاتصالات اللاسلكية وتصغير عقد المستشعر إلى تطوير شبكات المستشعرات الطبية اللاسلكية (WMSNs) التي يمكن استخدامها بفعالية لمراقبة المرضى عن بُعد. مراقبة المرضى عن بعد هي أحد هذه التطبيقات لشبكات الاستشعار اللاسلكية التي أصبحت منتشرة بشكل متزايد في مجال الرعاية الصحية. تطبيقات الرعاية الصحية لـ WMSNs حساسة للتأخير وتتطلب تسليم البيانات الحرجة للمريض في الوقت المناسب. ومع ذلك، فإن التبادل المتكرر لحزم البيانات الحرجة يؤدي إلى تأخيرات أعلى وتصادمات وإسقاط الحزم وإعادة الإرسال. وبالتالي، فإنه يجلب تأثيرًا ضارًا على أداء WMSNs. بالإضافة إلى ذلك، تنتج عقد المستشعر الطبي الحيوي المزروعة إشعاعات كهرومغناطيسية، وتشكل تهديدًا خطيرًا لتلف الأنسجة الحساسة في جسم الإنسان. تتطلب حماية تلف الأنسجة بروتوكولات توجيه مدركة للحرارة. ومع ذلك، فإن معظم بروتوكولات التوجيه الواعية للحرارة التي تم تطويرها لـ WBSNs ركزت في المقام الأول على تقليل درجة الحرارة، مع التغاضي عن هدف الحفاظ على الطاقة وتحسين اختيار المسار. في هذه الورقة، نقترح بروتوكول توجيه مرجح، قائم على جودة الخدمة، للطاقة ودرجة الحرارة، يشار إليه باسم (WETRP)، لـ WMSNs التي تستخدم مقياس توجيه مركب من خلال الحفاظ على درجة حرارة العرض، وطاقة العقدة المتبقية، وتقدير تأخير الارتباط أثناء قرارات اختيار المسار. توضح نتائج المحاكاة المقدمة في الورقة فعالية المخطط المقترح من حيث منع ارتفاع درجة الحرارة، والتعامل مع عقد النقاط الساخنة، وتعظيم عمر الشبكة.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Publisher:Institute of Electrical and Electronics Engineers (IEEE) Khalid Haseeb; Khaled Mellouli; Zahoor Jan; Tanzila Saba; Usman Tariq;Les réseaux de capteurs sans fil (WSN) attirent beaucoup l'attention de divers domaines en raison de leurs caractéristiques de maintenance, d'auto-configuration et d'évolutivité faciles. Il est composé de capteurs de petite taille qui interagissent avec l'Internet des objets (IoT) pour observer et enregistrer les conditions physiques. Les nœuds de capteur sont autonomes et construisent une topologie d'inter-communication les uns avec les autres de manière ad hoc. Cependant, les principales restrictions des nœuds de capteurs sont leurs ressources limitées pour la gestion de l'énergie, le stockage des données, la transmission et la puissance de traitement. Différentes solutions ont été abordées par les chercheurs pour surmonter les performances du réseau en raison des limitations limitées de ces nœuds alimentés par batterie, cependant, égaliser la consommation d'énergie et maintenir le débit du réseau sont les principaux problèmes de recherche. En outre, en raison des nœuds compromis, les données sont plus sujettes aux vulnérabilités de sécurité. Par conséquent, leur sécurité sur le réseau imprévisible est une autre préoccupation de recherche. Ainsi, l'objectif de cet article de recherche est de proposer un protocole de routage basé sur l'heuristique (SEHR) sécurisé et sensible à l'énergie pour WSN afin de détecter et de prévenir la compromission des données avec des performances efficaces. Tout d'abord, le protocole proposé utilise une analyse heuristique basée sur l'intelligence artificielle pour réaliser un schéma d'apprentissage fiable et intellectuel. Deuxièmement, il protège les transmissions contre les groupes adverses pour atteindre la sécurité avec le moins de complexité possible. De plus, la stratégie de maintenance des itinéraires est également réalisée en utilisant l'exploration du trafic pour réduire les défaillances de liaison et la déconnectivité du réseau. Les résultats de la simulation ont démontré que le protocole SEHR améliore l'efficacité du débit réseau de 18 % en moyenne, le taux de chute des paquets de 42 %, le retard de bout en bout de 26 %, la consommation d'énergie de 36 %, les itinéraires défectueux de 38 %, les frais généraux du réseau de 44 % et les frais généraux de calcul de 43 % dans les scénarios dynamiques par rapport aux travaux existants. Las redes de sensores inalámbricos (WSN) logran mucha atención de varios dominios debido a su fácil mantenimiento, autoconfiguración y características de escalabilidad. Se compone de sensores de pequeño tamaño que interactúan con el Internet de las cosas (IoT) para observar y registrar las condiciones físicas. Los nodos sensores son autónomos y construyen la topología de intercomunicación entre sí de manera ad-hoc. Sin embargo, las principales restricciones de los nodos sensores son sus recursos finitos para la gestión de la energía, el almacenamiento de datos, la transmisión y la potencia de procesamiento. Los investigadores han abordado diferentes soluciones para superar el rendimiento de la red debido a las limitaciones limitadas de dichos nodos alimentados por batería, sin embargo, igualar el consumo de energía y mantener el rendimiento de la red son los principales problemas de investigación. Además, debido a los nodos comprometidos, los datos son más propensos a las vulnerabilidades de seguridad. Por lo tanto, su seguridad sobre la red impredecible es otra de las preocupaciones de la investigación. Por lo tanto, el objetivo de este artículo de investigación es proponer un protocolo de enrutamiento basado en heurística (SEHR) seguro y consciente de la energía para que WSN detecte y evite comprometer los datos con un rendimiento eficiente. En primer lugar, el protocolo propuesto hace uso de un análisis heurístico basado en inteligencia artificial para lograr un esquema de aprendizaje fiable e intelectual. En segundo lugar, protege las transmisiones contra grupos adversarios para lograr la seguridad con la menor complejidad. Además, la estrategia de mantenimiento de rutas también se logra mediante el uso de la exploración de tráfico para reducir las fallas de enlace y la desconectividad de la red. Los resultados de la simulación demostraron que el protocolo SEHR mejora la eficacia para el rendimiento de la red en un promedio del 18%, la relación de caída de paquetes en un 42%, el retraso de extremo a extremo en un 26%, el consumo de energía en un 36%, las rutas defectuosas en un 38%, la sobrecarga de la red en un 44% y la sobrecarga computacional en un 43% en escenarios dinámicos en comparación con el trabajo existente. Wireless Sensor Networks (WSNs) achieve much attention from various domains because of its easy maintenance, self-configuration, and scalability characteristics. It is comprised of small-sized sensors that interact with the Internet of Things (IoT) for observing and recording the physical conditions. The sensor nodes are autonomous and construct inter-communication topology with each other in an ad-hoc manner. However, the main restrictions of sensor nodes are their finite resources for energy management, data storage, transmission, and processing power. Different solutions have been addressed by researchers to overcome network performance due to bounded limitations of such battery-powered nodes, however, equalize the energy consumption and maintain the network throughput are the main research problems. Furthermore, due to the compromised nodes, the data is more prone to security vulnerabilities. Therefore, their security over the unpredictable network is other research concerns. Thus, the aim of this research article to propose a secure and energy-aware heuristic-based routing (SEHR) protocol for WSN to detect and prevent compromising data with efficient performance. Firstly, the proposed protocol makes use of an artificial intelligence-based heuristic analysis to accomplish a reliable, and intellectual learning scheme. Secondly, it protects the transmissions against adversary groups to attain security with the least complexity. Moreover, the route maintenance strategy is also achieved by using traffic exploration to reduce link failures and network dis-connectivity. The simulation results demonstrated the SEHR protocol improves the efficacy for network throughput by an average of 18%, packet drop ratio by 42%, end-to-end delay by 26%, energy consumption by 36%, faulty routes by 38%, network overhead by 44%, and computational overhead by 43% in dynamic scenarios as compared to existing work. تحظى شبكات الاستشعار اللاسلكية (WSNs) باهتمام كبير من مختلف المجالات بسبب سهولة صيانتها وتكوينها الذاتي وخصائص قابلية التوسع. وهي تتألف من أجهزة استشعار صغيرة الحجم تتفاعل مع إنترنت الأشياء (IoT) لمراقبة وتسجيل الظروف المادية. عقد المستشعر مستقلة وتبني طوبولوجيا بين الاتصالات مع بعضها البعض بطريقة مخصصة. ومع ذلك، فإن القيود الرئيسية لعقد المستشعر هي مواردها المحدودة لإدارة الطاقة وتخزين البيانات ونقلها وقوة المعالجة. تم تناول حلول مختلفة من قبل الباحثين للتغلب على أداء الشبكة بسبب القيود المحدودة لهذه العقد التي تعمل بالبطارية، ومع ذلك، فإن مساواة استهلاك الطاقة والحفاظ على إنتاجية الشبكة هي مشاكل البحث الرئيسية. علاوة على ذلك، نظرًا للعقد المخترقة، تكون البيانات أكثر عرضة للثغرات الأمنية. لذلك، فإن أمنهم على الشبكة التي لا يمكن التنبؤ بها هو مخاوف بحثية أخرى. وبالتالي، فإن الهدف من هذه المقالة البحثية هو اقتراح بروتوكول توجيه إرشادي آمن ومدرك للطاقة (SEHR) لـ WSN لاكتشاف ومنع اختراق البيانات بأداء فعال. أولاً، يستخدم البروتوكول المقترح تحليلًا استكشافيًا قائمًا على الذكاء الاصطناعي لإنجاز مخطط تعلم فكري موثوق به. ثانيًا، يحمي عمليات الإرسال ضد مجموعات الخصم لتحقيق الأمن بأقل قدر من التعقيد. علاوة على ذلك، يتم تحقيق استراتيجية صيانة المسار أيضًا باستخدام استكشاف حركة المرور لتقليل أعطال الوصلات وفصل الشبكة. أظهرت نتائج المحاكاة أن بروتوكول SEHR يحسن فعالية إنتاجية الشبكة بمعدل 18 ٪، ونسبة انخفاض الحزمة بنسبة 42 ٪، والتأخير من طرف إلى طرف بنسبة 26 ٪، واستهلاك الطاقة بنسبة 36 ٪، والطرق الخاطئة بنسبة 38 ٪، والنفقات العامة للشبكة بنسبة 44 ٪، والنفقات العامة الحسابية بنسبة 43 ٪ في السيناريوهات الديناميكية مقارنة بالعمل الحالي.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 49 citations 49 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Publisher:Institute of Electrical and Electronics Engineers (IEEE) Khalid Haseeb; Khaled Mellouli; Zahoor Jan; Tanzila Saba; Usman Tariq;Les réseaux de capteurs sans fil (WSN) attirent beaucoup l'attention de divers domaines en raison de leurs caractéristiques de maintenance, d'auto-configuration et d'évolutivité faciles. Il est composé de capteurs de petite taille qui interagissent avec l'Internet des objets (IoT) pour observer et enregistrer les conditions physiques. Les nœuds de capteur sont autonomes et construisent une topologie d'inter-communication les uns avec les autres de manière ad hoc. Cependant, les principales restrictions des nœuds de capteurs sont leurs ressources limitées pour la gestion de l'énergie, le stockage des données, la transmission et la puissance de traitement. Différentes solutions ont été abordées par les chercheurs pour surmonter les performances du réseau en raison des limitations limitées de ces nœuds alimentés par batterie, cependant, égaliser la consommation d'énergie et maintenir le débit du réseau sont les principaux problèmes de recherche. En outre, en raison des nœuds compromis, les données sont plus sujettes aux vulnérabilités de sécurité. Par conséquent, leur sécurité sur le réseau imprévisible est une autre préoccupation de recherche. Ainsi, l'objectif de cet article de recherche est de proposer un protocole de routage basé sur l'heuristique (SEHR) sécurisé et sensible à l'énergie pour WSN afin de détecter et de prévenir la compromission des données avec des performances efficaces. Tout d'abord, le protocole proposé utilise une analyse heuristique basée sur l'intelligence artificielle pour réaliser un schéma d'apprentissage fiable et intellectuel. Deuxièmement, il protège les transmissions contre les groupes adverses pour atteindre la sécurité avec le moins de complexité possible. De plus, la stratégie de maintenance des itinéraires est également réalisée en utilisant l'exploration du trafic pour réduire les défaillances de liaison et la déconnectivité du réseau. Les résultats de la simulation ont démontré que le protocole SEHR améliore l'efficacité du débit réseau de 18 % en moyenne, le taux de chute des paquets de 42 %, le retard de bout en bout de 26 %, la consommation d'énergie de 36 %, les itinéraires défectueux de 38 %, les frais généraux du réseau de 44 % et les frais généraux de calcul de 43 % dans les scénarios dynamiques par rapport aux travaux existants. Las redes de sensores inalámbricos (WSN) logran mucha atención de varios dominios debido a su fácil mantenimiento, autoconfiguración y características de escalabilidad. Se compone de sensores de pequeño tamaño que interactúan con el Internet de las cosas (IoT) para observar y registrar las condiciones físicas. Los nodos sensores son autónomos y construyen la topología de intercomunicación entre sí de manera ad-hoc. Sin embargo, las principales restricciones de los nodos sensores son sus recursos finitos para la gestión de la energía, el almacenamiento de datos, la transmisión y la potencia de procesamiento. Los investigadores han abordado diferentes soluciones para superar el rendimiento de la red debido a las limitaciones limitadas de dichos nodos alimentados por batería, sin embargo, igualar el consumo de energía y mantener el rendimiento de la red son los principales problemas de investigación. Además, debido a los nodos comprometidos, los datos son más propensos a las vulnerabilidades de seguridad. Por lo tanto, su seguridad sobre la red impredecible es otra de las preocupaciones de la investigación. Por lo tanto, el objetivo de este artículo de investigación es proponer un protocolo de enrutamiento basado en heurística (SEHR) seguro y consciente de la energía para que WSN detecte y evite comprometer los datos con un rendimiento eficiente. En primer lugar, el protocolo propuesto hace uso de un análisis heurístico basado en inteligencia artificial para lograr un esquema de aprendizaje fiable e intelectual. En segundo lugar, protege las transmisiones contra grupos adversarios para lograr la seguridad con la menor complejidad. Además, la estrategia de mantenimiento de rutas también se logra mediante el uso de la exploración de tráfico para reducir las fallas de enlace y la desconectividad de la red. Los resultados de la simulación demostraron que el protocolo SEHR mejora la eficacia para el rendimiento de la red en un promedio del 18%, la relación de caída de paquetes en un 42%, el retraso de extremo a extremo en un 26%, el consumo de energía en un 36%, las rutas defectuosas en un 38%, la sobrecarga de la red en un 44% y la sobrecarga computacional en un 43% en escenarios dinámicos en comparación con el trabajo existente. Wireless Sensor Networks (WSNs) achieve much attention from various domains because of its easy maintenance, self-configuration, and scalability characteristics. It is comprised of small-sized sensors that interact with the Internet of Things (IoT) for observing and recording the physical conditions. The sensor nodes are autonomous and construct inter-communication topology with each other in an ad-hoc manner. However, the main restrictions of sensor nodes are their finite resources for energy management, data storage, transmission, and processing power. Different solutions have been addressed by researchers to overcome network performance due to bounded limitations of such battery-powered nodes, however, equalize the energy consumption and maintain the network throughput are the main research problems. Furthermore, due to the compromised nodes, the data is more prone to security vulnerabilities. Therefore, their security over the unpredictable network is other research concerns. Thus, the aim of this research article to propose a secure and energy-aware heuristic-based routing (SEHR) protocol for WSN to detect and prevent compromising data with efficient performance. Firstly, the proposed protocol makes use of an artificial intelligence-based heuristic analysis to accomplish a reliable, and intellectual learning scheme. Secondly, it protects the transmissions against adversary groups to attain security with the least complexity. Moreover, the route maintenance strategy is also achieved by using traffic exploration to reduce link failures and network dis-connectivity. The simulation results demonstrated the SEHR protocol improves the efficacy for network throughput by an average of 18%, packet drop ratio by 42%, end-to-end delay by 26%, energy consumption by 36%, faulty routes by 38%, network overhead by 44%, and computational overhead by 43% in dynamic scenarios as compared to existing work. تحظى شبكات الاستشعار اللاسلكية (WSNs) باهتمام كبير من مختلف المجالات بسبب سهولة صيانتها وتكوينها الذاتي وخصائص قابلية التوسع. وهي تتألف من أجهزة استشعار صغيرة الحجم تتفاعل مع إنترنت الأشياء (IoT) لمراقبة وتسجيل الظروف المادية. عقد المستشعر مستقلة وتبني طوبولوجيا بين الاتصالات مع بعضها البعض بطريقة مخصصة. ومع ذلك، فإن القيود الرئيسية لعقد المستشعر هي مواردها المحدودة لإدارة الطاقة وتخزين البيانات ونقلها وقوة المعالجة. تم تناول حلول مختلفة من قبل الباحثين للتغلب على أداء الشبكة بسبب القيود المحدودة لهذه العقد التي تعمل بالبطارية، ومع ذلك، فإن مساواة استهلاك الطاقة والحفاظ على إنتاجية الشبكة هي مشاكل البحث الرئيسية. علاوة على ذلك، نظرًا للعقد المخترقة، تكون البيانات أكثر عرضة للثغرات الأمنية. لذلك، فإن أمنهم على الشبكة التي لا يمكن التنبؤ بها هو مخاوف بحثية أخرى. وبالتالي، فإن الهدف من هذه المقالة البحثية هو اقتراح بروتوكول توجيه إرشادي آمن ومدرك للطاقة (SEHR) لـ WSN لاكتشاف ومنع اختراق البيانات بأداء فعال. أولاً، يستخدم البروتوكول المقترح تحليلًا استكشافيًا قائمًا على الذكاء الاصطناعي لإنجاز مخطط تعلم فكري موثوق به. ثانيًا، يحمي عمليات الإرسال ضد مجموعات الخصم لتحقيق الأمن بأقل قدر من التعقيد. علاوة على ذلك، يتم تحقيق استراتيجية صيانة المسار أيضًا باستخدام استكشاف حركة المرور لتقليل أعطال الوصلات وفصل الشبكة. أظهرت نتائج المحاكاة أن بروتوكول SEHR يحسن فعالية إنتاجية الشبكة بمعدل 18 ٪، ونسبة انخفاض الحزمة بنسبة 42 ٪، والتأخير من طرف إلى طرف بنسبة 26 ٪، واستهلاك الطاقة بنسبة 36 ٪، والطرق الخاطئة بنسبة 38 ٪، والنفقات العامة للشبكة بنسبة 44 ٪، والنفقات العامة الحسابية بنسبة 43 ٪ في السيناريوهات الديناميكية مقارنة بالعمل الحالي.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 49 citations 49 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 SpainPublisher:MDPI AG Amjad Rehman; Tanzila Saba; Khalid Haseeb; Souad Larabi Marie-Sainte; Jaime Lloret;doi: 10.3390/en14196414
handle: 10251/187827
Internet of Things (IoT) is a developing technology for supporting heterogeneous physical objects into smart things and improving the individuals living using wireless communication systems. Recently, many smart healthcare systems are based on the Internet of Medical Things (IoMT) to collect and analyze the data for infectious diseases, i.e., body fever, flu, COVID-19, shortness of breath, etc. with the least operation cost. However, the most important research challenges in such applications are storing the medical data on a secured cloud and make the disease diagnosis system more energy efficient. Additionally, the rapid explosion of IoMT technology has involved many cyber-criminals and continuous attempts to compromise medical devices with information loss and generating bogus certificates. Thus, the increase in modern technologies for healthcare applications based on IoMT, securing health data, and offering trusted communication against intruders is gaining much research attention. Therefore, this study aims to propose an energy-efficient IoT e-health model using artificial intelligence with homomorphic secret sharing, which aims to increase the maintainability of disease diagnosis systems and support trustworthy communication with the integration of the medical cloud. The proposed model is analyzed and proved its significance against relevant systems.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/19/6414/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 37visibility views 37 download downloads 47 Powered bymore_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/19/6414/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14196414&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 SpainPublisher:MDPI AG Amjad Rehman; Tanzila Saba; Khalid Haseeb; Souad Larabi Marie-Sainte; Jaime Lloret;doi: 10.3390/en14196414
handle: 10251/187827
Internet of Things (IoT) is a developing technology for supporting heterogeneous physical objects into smart things and improving the individuals living using wireless communication systems. Recently, many smart healthcare systems are based on the Internet of Medical Things (IoMT) to collect and analyze the data for infectious diseases, i.e., body fever, flu, COVID-19, shortness of breath, etc. with the least operation cost. However, the most important research challenges in such applications are storing the medical data on a secured cloud and make the disease diagnosis system more energy efficient. Additionally, the rapid explosion of IoMT technology has involved many cyber-criminals and continuous attempts to compromise medical devices with information loss and generating bogus certificates. Thus, the increase in modern technologies for healthcare applications based on IoMT, securing health data, and offering trusted communication against intruders is gaining much research attention. Therefore, this study aims to propose an energy-efficient IoT e-health model using artificial intelligence with homomorphic secret sharing, which aims to increase the maintainability of disease diagnosis systems and support trustworthy communication with the integration of the medical cloud. The proposed model is analyzed and proved its significance against relevant systems.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/19/6414/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14196414&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 37visibility views 37 download downloads 47 Powered bymore_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/19/6414/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14196414&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 SpainPublisher:MDPI AG Amjad Rehman; Khalid Haseeb; Tanzila Saba; Jaime Lloret; Zara Ahmed;doi: 10.3390/su13169092
handle: 10251/188307
The Internet of Things (IoT) is an emerging technology and provides connectivity among physical objects with the support of 5G communication. In recent decades, there have been a lot of applications based on IoT technology for the sustainability of smart cities, such as farming, e-healthcare, education, smart homes, weather monitoring, etc. These applications communicate in a collaborative manner between embedded IoT devices and systematize daily routine tasks. In the literature, many solutions facilitate remote users to gather the observed data by accessing the stored information on the cloud network and lead to smart systems. However, most of the solutions raise significant research challenges regarding information sharing in mobile IoT networks and must be able to stabilize the performance of smart operations in terms of security and intelligence. Many solutions are based on 5G communication to support high user mobility and increase the connectivity among a huge number of IoT devices. However, such approaches lack user and data privacy against anonymous threats and incur resource costs. In this paper, we present a mobility support 5G architecture with real-time routing for sustainable smart cities that aims to decrease the loss of data against network disconnectivity and increase the reliability for 5G-based public healthcare networks. The proposed architecture firstly establishes a mutual relationship among the nodes and mobile sink with shared secret information and lightweight processing. Secondly, multi-secured levels are proposed to protect the interaction with smart transmission systems by increasing the trust threshold over the insecure channels. The conducted experiments are analyzed, and it is concluded that their performance significantly increases the information sustainability for mobile networks in terms of security and routing.
Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/16/9092/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13169092&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 20 citations 20 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 30visibility views 30 download downloads 93 Powered bymore_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/16/9092/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13169092&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021 SpainPublisher:MDPI AG Amjad Rehman; Khalid Haseeb; Tanzila Saba; Jaime Lloret; Zara Ahmed;doi: 10.3390/su13169092
handle: 10251/188307
The Internet of Things (IoT) is an emerging technology and provides connectivity among physical objects with the support of 5G communication. In recent decades, there have been a lot of applications based on IoT technology for the sustainability of smart cities, such as farming, e-healthcare, education, smart homes, weather monitoring, etc. These applications communicate in a collaborative manner between embedded IoT devices and systematize daily routine tasks. In the literature, many solutions facilitate remote users to gather the observed data by accessing the stored information on the cloud network and lead to smart systems. However, most of the solutions raise significant research challenges regarding information sharing in mobile IoT networks and must be able to stabilize the performance of smart operations in terms of security and intelligence. Many solutions are based on 5G communication to support high user mobility and increase the connectivity among a huge number of IoT devices. However, such approaches lack user and data privacy against anonymous threats and incur resource costs. In this paper, we present a mobility support 5G architecture with real-time routing for sustainable smart cities that aims to decrease the loss of data against network disconnectivity and increase the reliability for 5G-based public healthcare networks. The proposed architecture firstly establishes a mutual relationship among the nodes and mobile sink with shared secret information and lightweight processing. Secondly, multi-secured levels are proposed to protect the interaction with smart transmission systems by increasing the trust threshold over the insecure channels. The conducted experiments are analyzed, and it is concluded that their performance significantly increases the information sustainability for mobile networks in terms of security and routing.
Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/16/9092/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13169092&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 20 citations 20 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 30visibility views 30 download downloads 93 Powered bymore_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/16/9092/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13169092&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014Publisher:Natural Sciences Publishing Authors: Tanzila Saba; Asadullah Shah; Mueen Uddin; Raed Alsaqour;doi: 10.12785/amis/080514
Intensifying computation demand from enterprises has driven the growth of large, multifaceted data centers to manage current Internet, financial, commercial, and business applications. A d ata center comprises thousands of servers and other equipment that require substantial amounts of power to operate. This condition resu lts in numerous challenges for the data center industry, such as massive energy consumption, underutilization of installed equipment, emission of greenhouse gases, and effect on global warming. This paper highlights the significance of identifying metrics to determine the pe rformance and efficiency of a data center, which can help such a facility achieve operational cost savings through proper implementation of performance-measuring metrics. This paper discusses the implementation of Power Usage Effectiveness metrics in a tier-level data center in Pakistan. The results show that the overall performance value of the facility is 3.3, which indicates poor and inefficient operations.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.12785/amis/080514&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 14 citations 14 popularity Top 10% influence Top 10% impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.12785/amis/080514&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014Publisher:Natural Sciences Publishing Authors: Tanzila Saba; Asadullah Shah; Mueen Uddin; Raed Alsaqour;doi: 10.12785/amis/080514
Intensifying computation demand from enterprises has driven the growth of large, multifaceted data centers to manage current Internet, financial, commercial, and business applications. A d ata center comprises thousands of servers and other equipment that require substantial amounts of power to operate. This condition resu lts in numerous challenges for the data center industry, such as massive energy consumption, underutilization of installed equipment, emission of greenhouse gases, and effect on global warming. This paper highlights the significance of identifying metrics to determine the pe rformance and efficiency of a data center, which can help such a facility achieve operational cost savings through proper implementation of performance-measuring metrics. This paper discusses the implementation of Power Usage Effectiveness metrics in a tier-level data center in Pakistan. The results show that the overall performance value of the facility is 3.3, which indicates poor and inefficient operations.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.12785/amis/080514&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 14 citations 14 popularity Top 10% influence Top 10% impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.12785/amis/080514&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019Publisher:MDPI AG Sana Mujeeb; Turki Ali Alghamdi; Sameeh Ullah; Aisha Fatima; Nadeem Javaid; Tanzila Saba;doi: 10.3390/app9204417
Recently, power systems are facing the challenges of growing power demand, depleting fossil fuel and aggravating environmental pollution (caused by carbon emission from fossil fuel based power generation). The incorporation of alternative low carbon energy generation, i.e., Renewable Energy Sources (RESs), becomes crucial for energy systems. Effective Demand Side Management (DSM) and RES incorporation enable power systems to maintain demand, supply balance and optimize energy in an environmentally friendly manner. The wind power is a popular energy source because of its environmental and economical benefits. However, the uncertainty of wind power makes its incorporation in energy systems really difficult. To mitigate the risk of demand-supply imbalance, an accurate estimation of wind power is essential. Recognizing this challenging task, an efficient deep learning based prediction model is proposed for wind power forecasting. The proposed model has two stages. In the first stage, Wavelet Packet Transform (WPT) is used to decompose the past wind power signals. Other than decomposed signals and lagged wind power, multiple exogenous inputs (such as, calendar variable and Numerical Weather Prediction (NWP)) are also used as input to forecast wind power. In the second stage, a new prediction model, Efficient Deep Convolution Neural Network (EDCNN), is employed to forecast wind power. A DSM scheme is formulated based on forecasted wind power, day-ahead demand and price. The proposed forecasting model’s performance was evaluated on big data of Maine wind farm ISO NE, USA.
Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2076-3417/9/20/4417/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app9204417&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 88 citations 88 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2076-3417/9/20/4417/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app9204417&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019Publisher:MDPI AG Sana Mujeeb; Turki Ali Alghamdi; Sameeh Ullah; Aisha Fatima; Nadeem Javaid; Tanzila Saba;doi: 10.3390/app9204417
Recently, power systems are facing the challenges of growing power demand, depleting fossil fuel and aggravating environmental pollution (caused by carbon emission from fossil fuel based power generation). The incorporation of alternative low carbon energy generation, i.e., Renewable Energy Sources (RESs), becomes crucial for energy systems. Effective Demand Side Management (DSM) and RES incorporation enable power systems to maintain demand, supply balance and optimize energy in an environmentally friendly manner. The wind power is a popular energy source because of its environmental and economical benefits. However, the uncertainty of wind power makes its incorporation in energy systems really difficult. To mitigate the risk of demand-supply imbalance, an accurate estimation of wind power is essential. Recognizing this challenging task, an efficient deep learning based prediction model is proposed for wind power forecasting. The proposed model has two stages. In the first stage, Wavelet Packet Transform (WPT) is used to decompose the past wind power signals. Other than decomposed signals and lagged wind power, multiple exogenous inputs (such as, calendar variable and Numerical Weather Prediction (NWP)) are also used as input to forecast wind power. In the second stage, a new prediction model, Efficient Deep Convolution Neural Network (EDCNN), is employed to forecast wind power. A DSM scheme is formulated based on forecasted wind power, day-ahead demand and price. The proposed forecasting model’s performance was evaluated on big data of Maine wind farm ISO NE, USA.
Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2076-3417/9/20/4417/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app9204417&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 88 citations 88 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Applied Sciences arrow_drop_down Applied SciencesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2076-3417/9/20/4417/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app9204417&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Publisher:Institute of Electrical and Electronics Engineers (IEEE) Ismail Shah; Sher Akbar; Tanzila Saba; Sajid Ali; Amjad Rehman;De nos jours, la modélisation et la prévision des prix au comptant de l'électricité sont difficiles en raison de leurs caractéristiques spécifiques, notamment les saisonnalités multiples, les effets de calendrier et les valeurs extrêmes (également appelées sauts, pics ou valeurs aberrantes). Cette étude vise à fournir une analyse complète de la prévision des prix de l'électricité en comparant plusieurs techniques de filtrage des valeurs aberrantes suivies de divers cadres de modélisation. À cette fin, les valeurs extrêmes sont d'abord traitées avec cinq techniques de filtrage différentes, puis remplacées par quatre approches différentes de remplacement des valeurs aberrantes. Ensuite, la série sans pointes est divisée en composantes déterministes et stochastiques. La composante déterministe comprend la tendance à long terme, les saisonnalités annuelles et hebdomadaires et les jours fériés et est estimée par des approches paramétriques et non paramétriques. D'autre part, la composante stochastique tient compte de la dynamique à court terme des séries chronologiques de prix et est modélisée à l'aide de différents modèles univariés et multivariés. Les résultats prévisionnels hors échantillon d'un jour pour la bourse italienne de l'électricité (IPEX), obtenus pour une année entière, suggèrent que le préfiltrage des valeurs aberrantes donne un gain de précision élevé. De plus, la modélisation multivariée pour le composant stochastique surpasse les modèles univariés. Hoy en día, modelar y pronosticar los precios al contado de la electricidad es un desafío debido a sus características específicas, que incluyen múltiples estacionalidades, efectos de calendario y valores extremos (también conocidos como saltos, picos o valores atípicos). Este estudio tiene como objetivo proporcionar un análisis exhaustivo de la previsión de precios de la electricidad mediante la comparación de varias técnicas de filtrado de valores atípicos seguidas por varios marcos de modelado. Con este fin, los valores extremos se tratan primero con cinco técnicas de filtrado diferentes y luego se reemplazan por cuatro enfoques de reemplazo de valores atípicos diferentes. A continuación, la serie sin picos se divide en componentes deterministas y estocásticos. El componente determinista incluye la tendencia a largo plazo, las estacionalidades anuales y semanales y los días festivos y se estima a través de enfoques paramétricos y no paramétricos. Por otro lado, el componente estocástico representa la dinámica a corto plazo de la serie temporal de precios y se modela utilizando diferentes modelos univariados y multivariados. Los resultados del pronóstico fuera de la muestra de un día antes para el intercambio de energía italiano (IPEX), obtenidos durante todo un año, sugieren que el prefiltrado de valores atípicos da una alta ganancia de precisión. Además, el modelado multivariante para el componente estocástico supera a los modelos univariantes. Nowadays, modeling and forecasting electricity spot prices are challenging due to their specific features, including multiple seasonalities, calendar effects, and extreme values (also known as jumps, spikes, or outliers). This study aims to provide a comprehensive analysis of electricity price forecasting by comparing several outlier filtering techniques followed by various modeling frameworks. To this end, extreme values are first treated with five different filtering techniques and are then replaced by four different outlier replacement approaches. Next, the spikes-free series is divided into deterministic and stochastic components. The deterministic component includes long-term trend, yearly and weekly seasonalities, and bank holidays and is estimated through parametric and nonparametric approaches. On the other hand, the stochastic component accounts for the short-run dynamics of the price time series and is modeled using different univariate and multivariate models. The one-day-ahead out-of-sample forecast results for the Italian Power Exchange (IPEX), obtained for a whole year, suggest that the outliers pre-filtering give a high accuracy gain. In addition, multivariate modeling for the stochastic component outperforms univariate models. في الوقت الحاضر، تمثل نمذجة أسعار الكهرباء الفورية والتنبؤ بها تحديًا بسبب ميزاتها المحددة، بما في ذلك الموسمية المتعددة، وتأثيرات التقويم، والقيم المتطرفة (المعروفة أيضًا باسم القفزات أو الارتفاعات أو القيم المتطرفة). تهدف هذه الدراسة إلى تقديم تحليل شامل لتوقعات أسعار الكهرباء من خلال مقارنة العديد من تقنيات الترشيح المتطرفة التي تتبعها أطر النمذجة المختلفة. ولتحقيق هذه الغاية، يتم التعامل مع القيم المتطرفة أولاً بخمس تقنيات ترشيح مختلفة ثم يتم استبدالها بأربعة أساليب استبدال مختلفة. بعد ذلك، تنقسم السلسلة الخالية من المسامير إلى مكونات حتمية وعشوائية. يشمل المكون الحتمي الاتجاه طويل الأجل، والمواسم السنوية والأسبوعية، والعطلات الرسمية، ويتم تقديره من خلال النهج البارامترية وغير البارامترية. من ناحية أخرى، يمثل المكون العشوائي الديناميكيات قصيرة المدى للسلاسل الزمنية للسعر ويتم نمذجته باستخدام نماذج مختلفة أحادية ومتعددة المتغيرات. تشير نتائج التوقعات قبل يوم واحد خارج العينة لبورصة الطاقة الإيطالية (IPEX)، التي تم الحصول عليها لمدة عام كامل، إلى أن التصفية المسبقة للقيم المتطرفة تعطي مكاسب عالية الدقة. بالإضافة إلى ذلك، تتفوق النمذجة متعددة المتغيرات للمكون العشوائي على النماذج أحادية المتغير.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 30 citations 30 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Publisher:Institute of Electrical and Electronics Engineers (IEEE) Ismail Shah; Sher Akbar; Tanzila Saba; Sajid Ali; Amjad Rehman;De nos jours, la modélisation et la prévision des prix au comptant de l'électricité sont difficiles en raison de leurs caractéristiques spécifiques, notamment les saisonnalités multiples, les effets de calendrier et les valeurs extrêmes (également appelées sauts, pics ou valeurs aberrantes). Cette étude vise à fournir une analyse complète de la prévision des prix de l'électricité en comparant plusieurs techniques de filtrage des valeurs aberrantes suivies de divers cadres de modélisation. À cette fin, les valeurs extrêmes sont d'abord traitées avec cinq techniques de filtrage différentes, puis remplacées par quatre approches différentes de remplacement des valeurs aberrantes. Ensuite, la série sans pointes est divisée en composantes déterministes et stochastiques. La composante déterministe comprend la tendance à long terme, les saisonnalités annuelles et hebdomadaires et les jours fériés et est estimée par des approches paramétriques et non paramétriques. D'autre part, la composante stochastique tient compte de la dynamique à court terme des séries chronologiques de prix et est modélisée à l'aide de différents modèles univariés et multivariés. Les résultats prévisionnels hors échantillon d'un jour pour la bourse italienne de l'électricité (IPEX), obtenus pour une année entière, suggèrent que le préfiltrage des valeurs aberrantes donne un gain de précision élevé. De plus, la modélisation multivariée pour le composant stochastique surpasse les modèles univariés. Hoy en día, modelar y pronosticar los precios al contado de la electricidad es un desafío debido a sus características específicas, que incluyen múltiples estacionalidades, efectos de calendario y valores extremos (también conocidos como saltos, picos o valores atípicos). Este estudio tiene como objetivo proporcionar un análisis exhaustivo de la previsión de precios de la electricidad mediante la comparación de varias técnicas de filtrado de valores atípicos seguidas por varios marcos de modelado. Con este fin, los valores extremos se tratan primero con cinco técnicas de filtrado diferentes y luego se reemplazan por cuatro enfoques de reemplazo de valores atípicos diferentes. A continuación, la serie sin picos se divide en componentes deterministas y estocásticos. El componente determinista incluye la tendencia a largo plazo, las estacionalidades anuales y semanales y los días festivos y se estima a través de enfoques paramétricos y no paramétricos. Por otro lado, el componente estocástico representa la dinámica a corto plazo de la serie temporal de precios y se modela utilizando diferentes modelos univariados y multivariados. Los resultados del pronóstico fuera de la muestra de un día antes para el intercambio de energía italiano (IPEX), obtenidos durante todo un año, sugieren que el prefiltrado de valores atípicos da una alta ganancia de precisión. Además, el modelado multivariante para el componente estocástico supera a los modelos univariantes. Nowadays, modeling and forecasting electricity spot prices are challenging due to their specific features, including multiple seasonalities, calendar effects, and extreme values (also known as jumps, spikes, or outliers). This study aims to provide a comprehensive analysis of electricity price forecasting by comparing several outlier filtering techniques followed by various modeling frameworks. To this end, extreme values are first treated with five different filtering techniques and are then replaced by four different outlier replacement approaches. Next, the spikes-free series is divided into deterministic and stochastic components. The deterministic component includes long-term trend, yearly and weekly seasonalities, and bank holidays and is estimated through parametric and nonparametric approaches. On the other hand, the stochastic component accounts for the short-run dynamics of the price time series and is modeled using different univariate and multivariate models. The one-day-ahead out-of-sample forecast results for the Italian Power Exchange (IPEX), obtained for a whole year, suggest that the outliers pre-filtering give a high accuracy gain. In addition, multivariate modeling for the stochastic component outperforms univariate models. في الوقت الحاضر، تمثل نمذجة أسعار الكهرباء الفورية والتنبؤ بها تحديًا بسبب ميزاتها المحددة، بما في ذلك الموسمية المتعددة، وتأثيرات التقويم، والقيم المتطرفة (المعروفة أيضًا باسم القفزات أو الارتفاعات أو القيم المتطرفة). تهدف هذه الدراسة إلى تقديم تحليل شامل لتوقعات أسعار الكهرباء من خلال مقارنة العديد من تقنيات الترشيح المتطرفة التي تتبعها أطر النمذجة المختلفة. ولتحقيق هذه الغاية، يتم التعامل مع القيم المتطرفة أولاً بخمس تقنيات ترشيح مختلفة ثم يتم استبدالها بأربعة أساليب استبدال مختلفة. بعد ذلك، تنقسم السلسلة الخالية من المسامير إلى مكونات حتمية وعشوائية. يشمل المكون الحتمي الاتجاه طويل الأجل، والمواسم السنوية والأسبوعية، والعطلات الرسمية، ويتم تقديره من خلال النهج البارامترية وغير البارامترية. من ناحية أخرى، يمثل المكون العشوائي الديناميكيات قصيرة المدى للسلاسل الزمنية للسعر ويتم نمذجته باستخدام نماذج مختلفة أحادية ومتعددة المتغيرات. تشير نتائج التوقعات قبل يوم واحد خارج العينة لبورصة الطاقة الإيطالية (IPEX)، التي تم الحصول عليها لمدة عام كامل، إلى أن التصفية المسبقة للقيم المتطرفة تعطي مكاسب عالية الدقة. بالإضافة إلى ذلك، تتفوق النمذجة متعددة المتغيرات للمكون العشوائي على النماذج أحادية المتغير.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 30 citations 30 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:Institute of Electrical and Electronics Engineers (IEEE) Zahoor Ali Khan; Adia Khalid; Nadeem Javaid; Abdul Haseeb; Tanzila Saba; Muhammad Shafiq;La demande croissante de charge dans les zones résidentielles et le profil de charge électrique irrégulier nous ont encouragés à proposer un système de gestion de l'énergie domestique (HEMS) efficace pour une planification optimale des appareils électroménagers. Nous proposons une solution basée sur l'optimisation multi-objectifs qui déplace la charge électrique des heures de pointe aux heures creuses en fonction de la courbe de charge objective définie pour l'électricité. Il vise à gérer le compromis entre des objectifs contradictoires : facture d'électricité, temps d'attente des appareils et déplacement de la charge électrique en fonction du schéma de charge électrique défini. Le modèle de charge électrique défini aide à équilibrer la charge pendant les heures de pointe et les heures creuses. De plus, pour le rééchelonnement en temps réel, le concept de coordination entre les appareils ménagers est présenté. Cela aide le planificateur à décider de manière optimale de l'état ON/OFF des appareils afin de réduire le temps d'attente de l'appareil. Alors que les consommateurs d'électricité ont une nature stochastique, pour laquelle les techniques d'optimisation inspirées de la nature fournissent une solution optimale. Pour une planification optimale, nous avons proposé deux techniques d'optimisation : l'optimisation binaire multi-objectifs des essaims d'oiseaux et un hybride d'essaims d'oiseaux et d'algorithmes de recherche de coucous pour obtenir le front de Pareto. De plus, la programmation dynamique est utilisée pour permettre la coordination entre les appareils afin que la planification en temps réel puisse être effectuée par le planificateur à la demande de l'utilisateur. Pour valider la performance des techniques d'optimisation basées sur la nature proposées, nous comparons les résultats des schémas proposés avec les techniques existantes telles que l'optimisation d'essaims de particules binaires multi-objectifs et les algorithmes de recherche de coucous multi-objectifs. Les résultats de la simulation valident les performances des techniques proposées en termes de réduction des coûts d'électricité, de rapport pic/moyenne et de minimisation des temps d'attente. En outre, des fonctions de test pour le front de Pareto convexe, non convexe et discontinu sont mises en œuvre pour prouver l'efficacité des techniques proposées. La creciente demanda de carga en el área residencial y el perfil irregular de la carga eléctrica nos animaron a proponer un Sistema de Gestión de Energía Doméstica (HEMS) eficiente para una programación óptima de los electrodomésticos. Proponemos una solución basada en la optimización multiobjetivo que desplaza la carga eléctrica de las horas punta a las horas valle de acuerdo con la curva de carga objetiva definida para la electricidad. Su objetivo es gestionar el equilibrio entre los objetivos en conflicto: la factura de electricidad, el tiempo de espera de los electrodomésticos y el desplazamiento de la carga de electricidad de acuerdo con el patrón de carga de electricidad definido. El patrón de carga de electricidad definido ayuda a equilibrar la carga durante las horas pico y baja. Además, para la reprogramación en tiempo real, se presenta el concepto de coordinación entre electrodomésticos. Esto ayuda al programador a decidir de manera óptima el estado de encendido/apagado de los electrodomésticos para reducir el tiempo de espera del electrodoméstico. Considerando que, los consumidores de electricidad tienen una naturaleza estocástica, para lo cual, las técnicas de optimización inspiradas en la naturaleza proporcionan una solución óptima. Para una programación óptima, propusimos dos técnicas de optimización: la optimización binaria de enjambres de aves multiobjetivo y un híbrido de algoritmos de búsqueda de enjambres de aves y cucos para obtener el frente de Pareto. Además, la programación dinámica se utiliza para permitir la coordinación entre los dispositivos, de modo que el programador pueda realizar la programación en tiempo real a petición del usuario. Para validar el rendimiento de las técnicas de optimización basadas en la naturaleza propuestas, comparamos los resultados de los esquemas propuestos con las técnicas existentes, como la optimización de enjambres de partículas binarias multiobjetivo y los algoritmos de búsqueda de cucos multiobjetivo. Los resultados de la simulación validan el rendimiento de las técnicas propuestas en términos de reducción de costos de electricidad, relación pico a promedio y minimización del tiempo de espera. Además, se implementan funciones de prueba para el frente de Pareto convexo, no convexo y discontinuo para demostrar la eficacia de las técnicas propuestas. The increasing load demand in residential area and irregular electricity load profile encouraged us to propose an efficient Home Energy Management System (HEMS) for optimal scheduling of home appliances. We propose a multi-objective optimization based solution that shifts the electricity load from On-peak to Off-peak hours according to the defined objective load curve for electricity. It aims to manage the trade-off between conflicting objectives: electricity bill, waiting time of appliances and electricity load shifting according to the defined electricity load pattern. The defined electricity load pattern helps in balancing the load during On-peak and Off-peak hours. Moreover, for real-time rescheduling, concept of coordination among home appliances is presented. This helps the scheduler to optimally decide the ON/OFF status of appliances to reduce the waiting time of the appliance. Whereas, electricity consumers have stochastic nature, for which, nature-inspired optimization techniques provide optimal solution. For optimal scheduling, we proposed two optimization techniques: binary multi-objective bird swarm optimization and a hybrid of bird swarm and cuckoo search algorithms to obtain the Pareto front. Moreover, dynamic programming is used to enable coordination among the appliances so that real-time scheduling can be performed by the scheduler on user's demand. To validate the performance of the proposed nature-based optimization techniques, we compare the results of proposed schemes with existing techniques such as multi-objective binary particle swarm optimization and multi-objective cuckoo search algorithms. Simulation results validate the performance of proposed techniques in terms of electricity cost reduction, peak to average ratio and waiting time minimization. Also, test functions for convex, non-convex and discontinuous Pareto front are implemented to prove the efficacy of proposed techniques. شجعنا الطلب المتزايد على الحمولة في المنطقة السكنية وملف تعريف حمل الكهرباء غير المنتظم على اقتراح نظام فعال لإدارة الطاقة المنزلية (HEMS) من أجل الجدولة المثلى للأجهزة المنزلية. نقترح حلاً قائمًا على التحسين متعدد الأهداف ينقل حمل الكهرباء من ساعات الذروة إلى ساعات خارج الذروة وفقًا لمنحنى الحمل الموضوعي المحدد للكهرباء. ويهدف إلى إدارة المفاضلة بين الأهداف المتضاربة: فاتورة الكهرباء ووقت انتظار الأجهزة وتحويل حمل الكهرباء وفقًا لنمط حمل الكهرباء المحدد. يساعد نمط حمل الكهرباء المحدد في موازنة الحمل أثناء ساعات الذروة وخارج ساعات الذروة. علاوة على ذلك، لإعادة الجدولة في الوقت الفعلي، يتم تقديم مفهوم التنسيق بين الأجهزة المنزلية. يساعد هذا المجدول على تحديد حالة تشغيل/إيقاف تشغيل الأجهزة على النحو الأمثل لتقليل وقت انتظار الجهاز. في حين أن مستهلكي الكهرباء لديهم طبيعة عشوائية، والتي توفر لها تقنيات التحسين المستوحاة من الطبيعة الحل الأمثل. من أجل الجدولة المثلى، اقترحنا تقنيتين للتحسين: التحسين الثنائي متعدد الأهداف لأسراب الطيور وهجين من خوارزميات البحث عن أسراب الطيور والوقواق للحصول على واجهة باريتو. علاوة على ذلك، يتم استخدام البرمجة الديناميكية لتمكين التنسيق بين الأجهزة بحيث يمكن تنفيذ الجدولة في الوقت الفعلي بواسطة المجدول بناءً على طلب المستخدم. للتحقق من صحة أداء تقنيات التحسين المقترحة القائمة على الطبيعة، نقارن نتائج المخططات المقترحة مع التقنيات الحالية مثل تحسين سرب الجسيمات الثنائية متعددة الأهداف وخوارزميات البحث عن الوقواق متعددة الأهداف. تتحقق نتائج المحاكاة من أداء التقنيات المقترحة من حيث خفض تكلفة الكهرباء، ونسبة الذروة إلى المتوسط وتقليل وقت الانتظار. كما يتم تنفيذ وظائف الاختبار لجبهة باريتو المحدبة وغير المحدبة والمتقطعة لإثبات فعالية التقنيات المقترحة.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 38 citations 38 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:Institute of Electrical and Electronics Engineers (IEEE) Zahoor Ali Khan; Adia Khalid; Nadeem Javaid; Abdul Haseeb; Tanzila Saba; Muhammad Shafiq;La demande croissante de charge dans les zones résidentielles et le profil de charge électrique irrégulier nous ont encouragés à proposer un système de gestion de l'énergie domestique (HEMS) efficace pour une planification optimale des appareils électroménagers. Nous proposons une solution basée sur l'optimisation multi-objectifs qui déplace la charge électrique des heures de pointe aux heures creuses en fonction de la courbe de charge objective définie pour l'électricité. Il vise à gérer le compromis entre des objectifs contradictoires : facture d'électricité, temps d'attente des appareils et déplacement de la charge électrique en fonction du schéma de charge électrique défini. Le modèle de charge électrique défini aide à équilibrer la charge pendant les heures de pointe et les heures creuses. De plus, pour le rééchelonnement en temps réel, le concept de coordination entre les appareils ménagers est présenté. Cela aide le planificateur à décider de manière optimale de l'état ON/OFF des appareils afin de réduire le temps d'attente de l'appareil. Alors que les consommateurs d'électricité ont une nature stochastique, pour laquelle les techniques d'optimisation inspirées de la nature fournissent une solution optimale. Pour une planification optimale, nous avons proposé deux techniques d'optimisation : l'optimisation binaire multi-objectifs des essaims d'oiseaux et un hybride d'essaims d'oiseaux et d'algorithmes de recherche de coucous pour obtenir le front de Pareto. De plus, la programmation dynamique est utilisée pour permettre la coordination entre les appareils afin que la planification en temps réel puisse être effectuée par le planificateur à la demande de l'utilisateur. Pour valider la performance des techniques d'optimisation basées sur la nature proposées, nous comparons les résultats des schémas proposés avec les techniques existantes telles que l'optimisation d'essaims de particules binaires multi-objectifs et les algorithmes de recherche de coucous multi-objectifs. Les résultats de la simulation valident les performances des techniques proposées en termes de réduction des coûts d'électricité, de rapport pic/moyenne et de minimisation des temps d'attente. En outre, des fonctions de test pour le front de Pareto convexe, non convexe et discontinu sont mises en œuvre pour prouver l'efficacité des techniques proposées. La creciente demanda de carga en el área residencial y el perfil irregular de la carga eléctrica nos animaron a proponer un Sistema de Gestión de Energía Doméstica (HEMS) eficiente para una programación óptima de los electrodomésticos. Proponemos una solución basada en la optimización multiobjetivo que desplaza la carga eléctrica de las horas punta a las horas valle de acuerdo con la curva de carga objetiva definida para la electricidad. Su objetivo es gestionar el equilibrio entre los objetivos en conflicto: la factura de electricidad, el tiempo de espera de los electrodomésticos y el desplazamiento de la carga de electricidad de acuerdo con el patrón de carga de electricidad definido. El patrón de carga de electricidad definido ayuda a equilibrar la carga durante las horas pico y baja. Además, para la reprogramación en tiempo real, se presenta el concepto de coordinación entre electrodomésticos. Esto ayuda al programador a decidir de manera óptima el estado de encendido/apagado de los electrodomésticos para reducir el tiempo de espera del electrodoméstico. Considerando que, los consumidores de electricidad tienen una naturaleza estocástica, para lo cual, las técnicas de optimización inspiradas en la naturaleza proporcionan una solución óptima. Para una programación óptima, propusimos dos técnicas de optimización: la optimización binaria de enjambres de aves multiobjetivo y un híbrido de algoritmos de búsqueda de enjambres de aves y cucos para obtener el frente de Pareto. Además, la programación dinámica se utiliza para permitir la coordinación entre los dispositivos, de modo que el programador pueda realizar la programación en tiempo real a petición del usuario. Para validar el rendimiento de las técnicas de optimización basadas en la naturaleza propuestas, comparamos los resultados de los esquemas propuestos con las técnicas existentes, como la optimización de enjambres de partículas binarias multiobjetivo y los algoritmos de búsqueda de cucos multiobjetivo. Los resultados de la simulación validan el rendimiento de las técnicas propuestas en términos de reducción de costos de electricidad, relación pico a promedio y minimización del tiempo de espera. Además, se implementan funciones de prueba para el frente de Pareto convexo, no convexo y discontinuo para demostrar la eficacia de las técnicas propuestas. The increasing load demand in residential area and irregular electricity load profile encouraged us to propose an efficient Home Energy Management System (HEMS) for optimal scheduling of home appliances. We propose a multi-objective optimization based solution that shifts the electricity load from On-peak to Off-peak hours according to the defined objective load curve for electricity. It aims to manage the trade-off between conflicting objectives: electricity bill, waiting time of appliances and electricity load shifting according to the defined electricity load pattern. The defined electricity load pattern helps in balancing the load during On-peak and Off-peak hours. Moreover, for real-time rescheduling, concept of coordination among home appliances is presented. This helps the scheduler to optimally decide the ON/OFF status of appliances to reduce the waiting time of the appliance. Whereas, electricity consumers have stochastic nature, for which, nature-inspired optimization techniques provide optimal solution. For optimal scheduling, we proposed two optimization techniques: binary multi-objective bird swarm optimization and a hybrid of bird swarm and cuckoo search algorithms to obtain the Pareto front. Moreover, dynamic programming is used to enable coordination among the appliances so that real-time scheduling can be performed by the scheduler on user's demand. To validate the performance of the proposed nature-based optimization techniques, we compare the results of proposed schemes with existing techniques such as multi-objective binary particle swarm optimization and multi-objective cuckoo search algorithms. Simulation results validate the performance of proposed techniques in terms of electricity cost reduction, peak to average ratio and waiting time minimization. Also, test functions for convex, non-convex and discontinuous Pareto front are implemented to prove the efficacy of proposed techniques. شجعنا الطلب المتزايد على الحمولة في المنطقة السكنية وملف تعريف حمل الكهرباء غير المنتظم على اقتراح نظام فعال لإدارة الطاقة المنزلية (HEMS) من أجل الجدولة المثلى للأجهزة المنزلية. نقترح حلاً قائمًا على التحسين متعدد الأهداف ينقل حمل الكهرباء من ساعات الذروة إلى ساعات خارج الذروة وفقًا لمنحنى الحمل الموضوعي المحدد للكهرباء. ويهدف إلى إدارة المفاضلة بين الأهداف المتضاربة: فاتورة الكهرباء ووقت انتظار الأجهزة وتحويل حمل الكهرباء وفقًا لنمط حمل الكهرباء المحدد. يساعد نمط حمل الكهرباء المحدد في موازنة الحمل أثناء ساعات الذروة وخارج ساعات الذروة. علاوة على ذلك، لإعادة الجدولة في الوقت الفعلي، يتم تقديم مفهوم التنسيق بين الأجهزة المنزلية. يساعد هذا المجدول على تحديد حالة تشغيل/إيقاف تشغيل الأجهزة على النحو الأمثل لتقليل وقت انتظار الجهاز. في حين أن مستهلكي الكهرباء لديهم طبيعة عشوائية، والتي توفر لها تقنيات التحسين المستوحاة من الطبيعة الحل الأمثل. من أجل الجدولة المثلى، اقترحنا تقنيتين للتحسين: التحسين الثنائي متعدد الأهداف لأسراب الطيور وهجين من خوارزميات البحث عن أسراب الطيور والوقواق للحصول على واجهة باريتو. علاوة على ذلك، يتم استخدام البرمجة الديناميكية لتمكين التنسيق بين الأجهزة بحيث يمكن تنفيذ الجدولة في الوقت الفعلي بواسطة المجدول بناءً على طلب المستخدم. للتحقق من صحة أداء تقنيات التحسين المقترحة القائمة على الطبيعة، نقارن نتائج المخططات المقترحة مع التقنيات الحالية مثل تحسين سرب الجسيمات الثنائية متعددة الأهداف وخوارزميات البحث عن الوقواق متعددة الأهداف. تتحقق نتائج المحاكاة من أداء التقنيات المقترحة من حيث خفض تكلفة الكهرباء، ونسبة الذروة إلى المتوسط وتقليل وقت الانتظار. كما يتم تنفيذ وظائف الاختبار لجبهة باريتو المحدبة وغير المحدبة والمتقطعة لإثبات فعالية التقنيات المقترحة.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 38 citations 38 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu