Computational analysis of clustering techniques for the efficient cluster head selection

Abstract

In the current era there are lots of work have been carried out in the direction of cluster heads (CHs) selection in wireless sensor network (WSN). Despite of these works there is still need of improvement in the suggested methods and approach. This paper provides a computational analysis of the related method published of clustering techniques for the efficient cluster head selection and based on the other approaches. In general k-means, fuzzy c-means (FCM) and hierarchical clustering have been considered for the analysis along with the computational measures. This study explores the analytical and experimental discussion and the trends for the efficient cluster head selection.