FEED: Fault tolerant, energy efficient, distributed Clustering for WSN

Abstract

Increasing network lifetime, scalability and load balancing are important factors for wireless sensor networks. Clustering is a useful technique through which we can effect these factors. In this paper, we propose a new method of clustering which prolongs network lifetime by using energy, density and centrality factors and also the distances between nodes for making clusters. We assume a supervisor node for every cluster head which is to be its replacement when the cluster head fails. This property causes an increase in network lifetime and also helps the network to be fault tolerant. Simulation results demonstrate that using the proposed method offers significant improvement in clustering especially in network lifetime in comparison with the LEACH and HEED methods.