Abstract
Wireless sensor networks (WSN) consist of large number of sensor nodes that work collaboratively. Sensors segregate groups with similar traits and get arranged in clusters. Each cluster has a cluster head (CH) that is responsible for collecting data from the sensors in its cluster and transmits to the Base station (BS). As the sensors are battery driven, minimizing the energy consumption and maximizing the network lifetime are the important concern for WSN. We propose a fuzzy-based cluster head amendment to decrease the energy consumption and increase the lifetime of the network. Topology among CH is dynamically constructed by the BS. The cluster head which lies in multiple shortest path is expected to drain its energy faster and the scenario becomes worse, when the Cluster Head (CH) acts as an Articulation Point (AP), so we have chosen the Betweenness centrality, Criticality and Residual energy as the factors for deciding the periodicity of changing the cluster head. We simulate the proposed work using NS-2.35 and measure the performance of sensor network in terms of Network lifetime, Total residual energy, Number of alive nodes and Energy spent and we prove that our approach improves the network lifetime by 10%.
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Ranganathan, R., Somanathan, B. & Kannan, K. Fuzzy-Based Cluster Head Amendment (FCHA) Approach to Prolong the Lifetime of Sensor Networks. Wireless Pers Commun 110, 1533–1549 (2020). https://doi.org/10.1007/s11277-019-06800-5
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DOI: https://doi.org/10.1007/s11277-019-06800-5