Performance Comparison of Various Clustering Techniques in Wireless Sensor Networks

Abstract

This paper presents the comparison of various Wireless Sensor Network (WSN) clustering protocols like LEACHCentralized, KMeans based clustering, Fuzzy C-Means clustering and Harmony Search Algorithm based clustering. The protocols have been compared with respect to network lifetime, energy consumption and effectiveness of clustering. It was observed that HSA based method of clustering outperformed LEACH-C, K-Means and FCM based protocols in almost every performance measurement aspects. However, few shortfalls of HSA method were also identified. All these protocols only consider intra cluster distance of members while clustering. Due to that the data delivery of these protocols are not uniform and clusters are not covering the deployment field in uniform way. The clustering problem was also observed for these protocols, wherein large variation was found in the cluster sizes during a particular round of the clustering algorithms.