Evaluation study of secondary cluster head selection using fuzzy logic in WSN for conservation of battery energy

The coming generations are using the wireless sensors, and all of these networks have been deployed across various areas. Also they are used with the real time systems thus catering to the needs of the present scenario which the traditional methods have failed. These wireless networks deploy sensors around the area, but the disadvantage lies that these sensors have very limited battery life, so to use it in an efficient way conserving the battery power, 2 cluster heads are chosen called the secondary cluster head(SCH) and primary cluster head, SCH which is selected based on three factors namely, the remaining battery power, speed and centrality and fuzzy logic is been applied on these three factors to select the super cluster head. The primary cluster heads are chosen for each cluster based on the centrality distance. In this paper the cluster formation, selection of primary and super cluster head is analyzed and the network is simulated and measured with the parameters like end-end delay, Number of hops, Residual Energy, number of alive and dead nodes and energy consumption.