An Efficient Energy Saving Scheme Through Sorting Technique for Wireless Sensor Network

Abstract

The role of a sensor is to sense and gather the information from both remote and domestic zones. Wireless sensor network (WSN) is still emerging to exploit its uses in new extents, though, a lot of works have been done such as habitat monitoring, health care, agriculture, seismic effects, etc. This work focuses on prolonging the lifetime of the WSN through optimizing its energy consumption. The miniature size of the sensor leads to the restrictions with power, lifetime, and memory. In traditional approaches, energy management has been done at the sensor node level whereas, in this work, we focus on cluster-level for energy management. The proposed algorithm named as Residual Energy Adaptive Cluster Head Selection Algorithm (REACH) is a simplified cluster formation process. REACH focuses on uniform energy-based cluster formation for the efficient energy management. The simulation results shows the outperformance of REACH over heterogeneous Stable Election Protocol (SEP) and homogeneous Low Energy Adaptive Clustering Hierarchy (LEACH) in terms of life time and dead node ratio.