Energy-Efficient Clustering Scheme in Wireless Sensor Network

Abstract

Hierarchical clustering algorithms have been proposed to minimize energy consumption by sensor nodes under power constraints in a wireless sensor network. However, previously reported methods such as backbone construction algorithms consume energy quickly at the cluster head nodes. A cluster head node must therefore be changed periodically by election among the available sensor nodes, to transfer aggregated data from one cluster head node to another for as long as possible. This study investigates the clustering algorithm and cluster head election methodology among sensors to efficiently control energy consumption. This paper presents comparison results between the conventional and proposed schemes of clustering algorithms.