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Energy Efficient Routing Using Support Vector Machine in Wireless Sensor Networks

Cluster head selection and energy utilization are efficiently managed using a conventional routing mechanism employing Wireless Sensor Nodes (WSNs). The paper propose a method to enhance network lifetime with an average greater energy utilization. The SVM is used to tackle routing problems in the mobile base station connected with the infrastructure network. The protocol is intended to avoid the control by a centralised router or mobile base station of the complete mobile sensor nodes. In comparison to traditional energy efficient algorithms, the validation of SVM methodology shows an effective routing efficacy. The results against typical routing techniques over WSNs have been found successful.
- Wollega University Ethiopia
- Sona College of Technology India
- Shaqra University Saudi Arabia
- Shaqra University Saudi Arabia
- VELLORE INSTITUTE OF TECHNOLOGY India
Energy Efficiency, SVM, Machine learning, Wireless Sensor, Routing
Energy Efficiency, SVM, Machine learning, Wireless Sensor, Routing
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).0 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
