Energy Consumed Optimization Using Agent-Based GAPSO Scheme in Mobile Networks

Abstract

As a significant constraint on mobile devices, battery power is often consumed very quickly during use. In this paper, a hybrid GAPSO system based on a combination of genetic algorithms (GA) and particle swarm optimization (PSO) is utilized as a solution for energy management in mobile networks. The proposed energy management solution uses mobile agent technology to allocate power efficiently in mobile networks. An extensive simulation study, to evaluate performance, shows the feasibility of the proposed approach, where energy consumption is significantly reduced