Abstract

Abstract Mobile sensor nodes play primary role in heterogeneous Wireless Sensor Network (WSN). Based on battery energy level working of sensor node as well as network is measured. As it was not possible to replace batteries as they were once deployed cannot be afforded in applications such as forest surveillance, military applications and medical applications. Many researchers had been conducted to identify energy efficiency issue, but they are unable to solve this issue using routing protocol appropriately. In this study, Mayfly Optimization Algorithm (MOA) combined with energy efficient routing protocol is proposed for handling Cluster Head (CH) selection. Hence delivering data between CH and Base Station (BS) occurs in the entire network. By rotating selection of CH based on optimization decreases energy consumption redundantly, also helps to solve energy hole problem. To determine performance of proposed Mobile Sensor node Energy Coherent MOA (MECMOA) simulations are performed. Parameters like distance, residual energy and rate of energy consumption are determined and evaluated results are presented. Further, performance of MECMOA is tested against Low Energy Adaptive Clustering Hierarchy (LEACH), LEACH- Particle Swarm Optimization (LEACHPSO) and Stable Energy Efficient Clustering Protocol (SEECP) protocol considering performance metrics namely network lifetime, alive nodes, dead nodes and data packet delivery rate. Simulation results show that the MECMOA improves network life time, nodes exhaustion ratio and energy consumption rate for every node by more than 5.76%, 6.18% and 4.12% respectively.

Full Text
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