An Energy Efficient Clustering Algorithm for Event-Driven Wireless Sensor Networks (EECED)

Abstract

Wireless sensor networks have found many applications in different areas, including environmental surveillance, intelligent building, health monitoring, intelligent transportations, etc. The sensor networks consist of numerous tiny autonomous wireless devices with limited energy and memory that monitor physical phenomena. Therefore, energy efficient algorithms and protocols have been one of the most challenging issues for WSNs. Many researchers have focused on developing energy efficient cluster based protocols for WSNs, but there has not been much research on event driven WSNs and, their focus is on continuous networks. In this paper, we propose a modified algorithm of Low Energy Adaptive Clustering Hierarchy (LEACH) protocol which is a well known energy efficient clustering algorithm for WSNs. Our modified protocol called “Energy Efficient Clustering Algorithm for Event-Driven Wireless Sensor Networks (EECED)” is aimed at prolonging the lifetime of a sensor network by balancing energy usage of the nodes. EECED makes the nodes with more residual energy have more chances to be selected as cluster head. Also, we use elector nodes which take the responsibility of collecting energy information of the nearest sensor nodes and selecting the cluster head. We compared the performance of our EECED algorithm with the LEACH protocol using simulations.