Node Degree Based Energy Efficient Two-Level Clustering for Wireless Sensor Networks
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Recently fuzzy based hierarchical routing protocols such as F-MCHEL and F-SCH were proposed to improve the lifetime of a wireless sensor network. In certain cases F-MCHEL results in several small sized clusters increasing the inter cluster communication cost. This is due to the negligence of node degree in cluster head selection. The performance of F-SCH is observed to be better than F-MCHEL because super cluster head selection is based on centrality and mobility. Though it minimized inter cluster energy, the randomness in LEACH based cluster head selection inhibits the benefits of multilevel routing. Hence, with an objective to minimize the total energy consumed by the network, fuzzy based two-level hierarchical protocol is proposed. The objective is achieved by appropriate selection of cluster head and super cluster head. Cluster head selection is based on battery power, centrality and node degree while super cluster head selection is based on battery power, centrality and mobility of cluster heads. Experiments are carried out both in simulation and hardware to validate the proposal. The performance of the network in terms of first node, half node and last node death is studied and the proposal is compared with F-MCHEL and F-SCH. The results reveal the efficiency of the proposal.
KeywordsHierarchical routing Node degree Centrality Network life time Fuzzy Wireless sensor networks
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