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Fuzzy Based Energy Competent Cluster Head Selection in Wireless Sensor Networks

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Abstract
Wireless Sensor Network (WSN) is a wireless communication System based on embedded system and sensor system, which is equipped with lots of low-cost micro low-power sensor nodes. Nowadays, WSN has been widely applied in various fields for their merits, such as smart home, environmental monitoring, and military surveillance, disaster relief operations etc .The wireless sensor network checks physical and environmental status, data is collected and sent to the base station via network. Clustering combines several sensor nodes to form a cluster and elects a head for the clusters formed. Cluster formation and cluster head selection plays major role in Wireless Sensor Networks (WSNs).In order to select a Cluster Head various parameter such as residual energy, centrality, number of neighbors, distance to base station etc., can be considered. . This paper focuses on coordination of sensor nodes in a network and selection of best node which keeps information of affiliated sensor node for communication with cluster head of other clusters using fuzzy logic.BFO algorithm also used for optimization .This model improves the network lifetime and efficiency of the Cluster Head.
Keywords: cluster head,fuzzy logic and BFO

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