A Reactive Hybrid Metaheuristic Energy-Efficient Algorithm for Wireless Sensor Networks

Abstract

Expanding network lifespan is the main target during the design of a wireless sensor network. Clustering the sensor nodes is an efficient topology to accomplish this objective. In this work, we offer a reactive hybrid protocol to enhance network lifetime using the hybridization of ant colony optimization (ACO) along with particle swarm optimization (PSO) algorithm. In order to improve the energy efficiency, the anticipated RAP algorithm uses a reactive data transmission strategy which is incorporated into the hybridization of ACO and PSO algorithm. In the beginning, the clusters are organized depending on the residual energy and then the proposed RAP algorithm will be executed to improvise the inter-cluster data aggregation and reduces the data transmission. The experimental outcomes demonstrate the proposed RAP algorithm performs well against other near conventions in different situations.