Enhancing the network lifetime Using hybrid meta heuristic based Optimization technique in wireless Sensor networks

Abstract

Managing energy efficiency is a sturdy process in any wireless sensor application. Several protocols were proffered to ameliorate network lifespan in Wireless Sensor Network (WSN). Efficient energy management and reliability achievement is a demanding mission. In this research work, a spanking energy-efficient multihop routing protocol is intended to sort-out the aforementioned issues. A novel model is presented to perform clustering and energy-efficient routing. The network model is designed with a Super-Cluster Head (SCH) that manages the members termed as Cluster Heads (CH). The network information is maintained by the SCH. The stability of the path and reliability ratio of the route is computed to provide stable energy-efficient network management. The network is simulated using a powerful simulation tool, NS-2 to analyze various performance factors in the network considered. Next, a metaheuristic approach that promotes load balancing and energy-efficient data transmission using the Fruit Fly Optimization Algorithm (FFOA) is presented. The approach combines the existing protocol with Differential Evolution (DE) to select optimum cluster head in every cluster. Based on the osphresis and vision foraging behaviour of fruit flies, the algorithm is designed to provide energy-efficient data transmissions. The selection of cluster head is drew on the aspects like node concentration, prevailing energy, and the inter-space between the nodes to the base station. It provides an optimal solution for the nodes in overlapping CHs and energy problem that occurs due to uneven clustering newline