Lifetime maximizing clustering structure using archimedes' spiral based deployment in WSNs

Abstract

In wireless sensor networks (WSNs), preserving energy requires utmost attention, as they are highly resource constrained. Clustering is commonly considered as one of the efficient energy conservation technique. Firstly, we analyze the maximization of network lifetime by balancing the energy consumption among different cluster heads (CHs). It is found that number of clusters and number of member nodes (MNs) associated with each cluster has significant role in maximization of network lifetime. To meet the requirement of maximization of network lifetime, we devise a routing aware optimal clustering strategy. We also identify Archimedes' spiral, based on which a deployment function is proposed for distributing MN and CH. Performance of the optimal clustering strategy is evaluated in terms of energy balance and network lifetime. Simulation results demonstrate that the propose technique significantly outperforms two competing schemes in terms of both the performance metrics.