Energy Efficient Hierarchical Cluster Head Election Using Exponential Decay Function Prediction
Ojoawo A.O, Adeniji O.D · International Journal of Wireless & Mobile Networks · 2018
In the recent years, wireless sensor network (WSN) have witnessed increased interest in information gathering in applications such as combat field reconnaissance, security surveillance, environmental monitoring, patient health monitoring and so on.Thus, there is a need for scalable and energy-efficient routing, data gathering and aggregation protocols in these WSN environments.Various hierarchical clustering Protocols have been proposed by authors for WSN to improve system stability, lifetime, and energy efficiency.Clustering involves grouping nodes into disjoint and non-overlapping clusters.In this paper we motivate the need for clustering.Secondly, we present general classification of published clustering schemes.Thirdly, we review some existing clustering algorithms proposed for WSNs; highlighting their objectives, features, and so on.Finally, we develop an Average Energy (AvE) prediction algorithm using exponential decay function y=Ae -ax +B.We then combine this function with the probabilistic distributed LEACH of algorithm to determine suitable CHs.The combined algorithm was implemented on MATLAB simulator and tested for homogenous network.The result gathered from the simulation shows that the extended algorithm in homogenous network mode is able to achieve 39% stability, 11% Average energy Dissipation per round and 40% Lifespan better than LEACH-Homo.This paper proposes a new direction in improving energy efficiency of WSN routing protocol, which is desirable in some critical WSN applications. .