A Novel Energy Entropy Based on Clusterhead Selection Algorithm for Wireless Sensor Networks

Abstract

Energy is the primary constraint on designing wireless sensor networks (WSNs) practically, leading to limited network lifetime of WSN. Different communication protocols and algorithms are investigated to find ways to reduce power consumption. Cluster formation and clusterhead selection are critical issues in WSN, which can prolong the lifetime and also improve the network’s performance. In order to maintain the stability of clusters, energy of wireless sensor nodes and connectivity are taken as the basis of clusterhead election. We consider the problem of appropriate clusterhead selection in WSNs. This paper proposes a Novel Energy Entropy Based on Clusterhead Selection Algorithm for WSNs (EE-CSAW). The protocol constructs a new metric of node stability and selects a stable clusterhead with the help of entropy metric to reduce the number of clusterhead reconstruction. It selects the nodes which have the most weight and stability to be the clusterheaders. Simulations demonstrate the performance benefits of our proposal EE-CSAW over SLEACH and Thein’s proposed algorithm in WSNs.