Distributive Energy Efficient Adaptive Clustering Protocol for Wireless Sensor Networks

Abstract

Clustering sensors into groups, so that sensors communicate information only to cluster-heads and then the cluster-heads communicate the aggregated information to the base station, saves energy and thus prolongs network lifetime. Adapting this approach, we propose a Distributive Energy Efficient Adaptive Clustering (DEEAC) protocol. This protocol is adaptive in terms of data reporting rates and residual energy of each node within the network. Motivated by the LEACH protocol [I], we extend its stochastic cluster selection algorithm for networks having spatio-temporal variations in data reporting rates across different regions. Simulation results demonstrate that DEEAC is able to distribute energy consumption more effectively among the sensors, thereby prolonging the network lifetime by as much as 50% compared to LEACH.