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An Energy-Efficient Clustering Scheme for Wireless Sensor Networks |
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One of the major challenges in wireless sensor networks (WSN) is to meet the energy constraint of the sensor nodes. Clustering is an effective self-organization approach to offer energy-efficient communication for WSNs. Energy of a sensor node dynamically decreases when it plays the role of cluster head (CH). This creates unequal energy consumption in a cluster. As a result some nodes die faster and shorten then overall network lifetime. Existing clustering techniques even with backup cluster head consumes huge energy due to frequent re-clustering and inefficient backup cluster head selection and switching. We propose an optimal backup cluster head scheme to reduce energy consumption and time needed for reclustering operation and thus to increase the network lifetime. We introduce the selection of a set of backup cluster heads from the cluster member nodes based on optimal value of average reachable energy (ARE) and residual energy (RE) of each node and the calculation of their optimum switching time. |
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Anwar Sadat received his B.Sc. degree in Applied Physics and Electronics and M.Sc. degree in Computer Science from the University of Dhaka, Bangladesh. He also received Master of Science degree in IT (Internetworking) from the Royal Institute of Technology (KTH), Sweden. Anwar Sadat commenced his PhD research in 2008 at Gippsland School of Information Technology (GSIT) in Monash University. Before starting his PhD, Anwar was employed in Bangladesh Open University as an Assistant Professor. His current research focuses on algorithms and optimization techniques essential for reliable and energy efficient wireless sensor networks. |
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