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RE-ATTEMPT: A New Energy-Efficient Routing Protocol for Wireless Body Area Sensor Networks

Modern health care system is one of the most popular Wireless Body Area Sensor Network (WBASN) applications and a hot area of research subject to present work. In this paper, we present Reliability Enhanced-Adaptive Threshold based Thermal-unaware Energy-efficient Multi-hop ProTocol (RE-ATTEMPT) for WBASNs. The proposed routing protocol uses fixed deployment of wireless sensors (nodes) such that these are placed according to energy levels. Moreover, we use direct communication for the delivery of emergency data and multihop communication for the delivery of normal data. RE-ATTEMPT selects route with minimum hop count to deliver data which downplays the delay factor. Furthermore, we conduct a comprehensive analysis supported by MATLAB simulations to provide an estimation of path loss, and problem formulation with its solution via linear programming model for network lifetime maximization is also provided. In simulations, we analyze our protocol in terms of network lifetime, packet drops, and throughput. Results show better performance for the proposed protocol as compared to the existing one.
- Umm al-Qura University Saudi Arabia
- COMSATS University Islamabad Pakistan
- COMSATS University Islamabad Pakistan
- Dalhousie University Canada
- University of Alberta Canada
Alternative medicine, Computer Networks and Communications, Biomedical Engineering, Energy-Efficient Protocols, Wireless Body Area Networks in Healthcare, Mobile Sensor Deployment, FOS: Medical engineering, Quantum mechanics, Engineering, Pathology, Efficient energy use, Biology, Computer network, Wireless Sensor Networks: Survey and Applications, Network packet, Ecology, Physics, Routing Techniques, QA75.5-76.95, Power (physics), Computer science, Distributed computing, Routing protocol, Energy consumption, Wireless Body Area Networks, Reliability (semiconductor), Electronic computers. Computer science, FOS: Biological sciences, Electrical engineering, Physical Sciences, Computer Science, Protocol (science), Medicine, Nanonetworks and Molecular Communication, Wireless Sensor Networks, Wireless sensor network
Alternative medicine, Computer Networks and Communications, Biomedical Engineering, Energy-Efficient Protocols, Wireless Body Area Networks in Healthcare, Mobile Sensor Deployment, FOS: Medical engineering, Quantum mechanics, Engineering, Pathology, Efficient energy use, Biology, Computer network, Wireless Sensor Networks: Survey and Applications, Network packet, Ecology, Physics, Routing Techniques, QA75.5-76.95, Power (physics), Computer science, Distributed computing, Routing protocol, Energy consumption, Wireless Body Area Networks, Reliability (semiconductor), Electronic computers. Computer science, FOS: Biological sciences, Electrical engineering, Physical Sciences, Computer Science, Protocol (science), Medicine, Nanonetworks and Molecular Communication, Wireless Sensor Networks, Wireless sensor network
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).97 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
