Multi Objective Energy based Hybrid Optimization Algorithm for Clustering and Routing in WSN
Journal of System and Management Sciences · 2022
Wireless Sensor Network (WSN) typically consists of thousands of relatively small nodes, each equipped with a sensing device.The sensor node which contains higher energy constraints is considered insignificant where the energy does not substitute and cooperate.Consequently, data transmission is the main cause of energy consumption in WSN.Clustering is an efficient procedure to gain energy efficiency through data transmission in WSN.So, this research proposed a Multi Objective Energy-based Hybrid Optimization Algorithm -(MOEHOA) attain the energy-efficient process.The hybrid optimization is composed of Improved Moth Flame Algorithm (IMFO) along with Firefly algorithm.Also, this proposed method eliminates excessive retransmissions and delay to improve the performance metrics.The simulation model displayed that proposed MOEHOA achieved better results in terms of residual energy (12.7725J), end-to-end delay (12.65ms), packet delivery ratio (0.994), normalized routing overhead (0.118949) and throughput (1.097 Mbps) when compared with Cluster-Based Data Aggregation (CBDA) which attains less performance in all the performance parameters.