AN OPTIMAL ENERGY MINIMIZATION ALGORITHM FOR WIRELESS SENSOR NETWORKS USING GRAVITATIONAL SEARCH, COLONY ALGORITHM

Abstract

Real-time traffic configuration is critical for networking planning and development in the technology industry, especially for mobile or wireless network performance evaluation. A wireless sensor network (WSN) is made up of a vast quantity of devices that are uniformly spread around a particular location. In this research study, a Gravitational Search Algorithm (GSA) based model is proposed to improve CH selection. To improve the energy efficiency further, a modified GSA is proposed for routing to the base station. This research focuses on a network to lifetime maximization using proposed algorithms. They perceive the world within their respective ranges and relay the information to one another using a cellular method and multiple hops techniques. The current conventional techniques were analyzed and the analysis was interpreted to find the errors and make the network's energy. To ensure WSN nodes still have current and making progress toward that goal, we place requirements on the current and total counts, with the objective of balancing energy use across all domains. This would cause a large reduction in electrical demand and also experiment of this proposed model is compared with the artificial bee colony (ABC) procedure.