Hierarchical Distributed Clustering Algorithm For Energy Efficient Wireless Sensor Networks

Abstract

A wireless sensor network is subject to a unique set of resource constraints such as finite battery power and constrained network communication bandwidth. Each sensor node has a microprocessor and a petite amount of memory. Also every sensor node is equipped with one or more sensing devices such as acoustic sensors, microphone arrays, video cameras, infrared, seismic or magnetic sensors. But it is difficult to replace the deceased batteries of the sensor nodes. A distinctive sensor node consumes much of its energy during wireless communication. This research work suggests the development of a hierarchical distributed clustering mechanism, which gives improved performance over the existing clustering algorithm LEACH. The two hiding concepts behind the proposed scheme are the hierarchical distributed clustering mechanism and the concept of threshold. Energy utilization is significantly reduced, thereby greatly prolonging the lifetime of the sensor nodes.