Energy Efficient Adaptive Protocol for Clustered Wireless Sensor Networks
Wireless Sensor Networks (WSNs) is a network of an inexpensive low coverage, sensing, and computation nodes. The foremost difference between the WSN and the traditional wireless networks is that sensors are extremely sensitive to energy consumption. Energy saving is the crucial issue in designing the wireless sensor networks. Many researchers have focused only on developing energy efficient protocols for continuous-driven clustered sensor networks. In this paper, we propose a modified algorithm for Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. Our modified protocol called “Energy-Efficient Adaptive Protocol for Clustered Wireless Sensor Networks (EEAP)” is aimed at prolonging the lifetime of the sensor networks by balancing the energy consumption of the nodes. EEAP makes the high residual energy node to become a cluster-head. The elector nodes are used to collect the energy information of the nearest sensor nodes and select the cluster-heads. We compare the performance of our EEAP algorithm with the LEACH protocol using simulations.
Keywords: Keywords: Energy efficiency, LEACH, Cluster-Head, Wireless sensor networks.
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ABOUT THE AUTHORS
K.Padmanabhan
Department of Computer Applications Muthayammal Engineering College, Rasipuram. Namakkal(Dt). Tamilnadu. India.
P. Kamalakkannan
Dr. P. Kamalakkannan received his B.Sc and MCA degrees in 1988 and 1991 from University of Madras, India. He has obtained his Ph.D degree in Computer Science in the year 2008. His research interest includes Distributed Systems, Pervasive Computing, and Wireless Adhoc networks, Wireless sensor networks.
K.Padmanabhan
Department of Computer Applications Muthayammal Engineering College, Rasipuram. Namakkal(Dt). Tamilnadu. India.
P. Kamalakkannan
Dr. P. Kamalakkannan received his B.Sc and MCA degrees in 1988 and 1991 from University of Madras, India. He has obtained his Ph.D degree in Computer Science in the year 2008. His research interest includes Distributed Systems, Pervasive Computing, and Wireless Adhoc networks, Wireless sensor networks.