Cost and Sub-Epoch Based Stable Energy-Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks

Abstract

This paper proposes a cost and sub-epoch based stable energy-efficient clustering (CSSEEC) algorithm for heterogeneous wireless sensor networks. In this paper, we provide a cost function for cluster heads selection and a sub-epoch to re-stands the previously selected cluster heads as normal nodes in cluster head selection process for future rounds. Cost function alleviates the energy consumption of sensor nodes by optimum selection of cluster heads and modified sub-epoch makes the energy balance among the normal nodes. Thereby, the performance parameters like stability period, usable period, throughput and network lifetime are improved remarkably. It is also discerned that the stability period is the paramount parameter than others. By improving this parameter, overall performance of network is improved. Simulation results verified that proposed CSSEEC protocol is more efficient than existing protocols.