Energy Efficient Clustering in Heterogeneous Environment

Abstract

In WSN the lifetime of the sensors is very less, so the battery should be used efficiently. In order to lengthen the network lifetime, various clustering approaches are used. In this paper, we are taking the heterogeneous type of network. We are assuming that some of the sensors are furnished with some extra energy. In proposed clustering technique the weighted election probabilities are applied to choose the cluster head. The nodes in the network are classified into three categories as per their energy levels. The proposed technique uses a threshold function which uses the energy ratio of the nodes for cluster head (CH) determination. Simulation results prove that the suggested method has increased the network lifetime and increased the stability period.