A Novel Fuzzy CMeans-Based Clustering Scheme for Wireless Sensor Networks

Abstract

WSNs consist of many low-cost autonomous sensors that are equipped with a small battery, data processing capabilities, and short-range wireless communication interfaces. They are often deployed for monitoring and surveillance of certain phenomena of interest. In this paper, we propose a fuzzy Cmeans-based clustering scheme which improves the network lifetime by creating symmetric clusters. It improves the random process of selecting the clusterhead nodes and by creating symmetric clusters reduces the total distances of intra-cluster communications. Thus, because, sensed data are transmitted to the closer clusterheads, our proposed clustering solution can prolong the network lifetime.