A multi-objective optimization MEC task hierarchical offloading system based on SWIPT

Abstract

As a new framework mode, the mobile edge computing (MEC) can overcome the problems of energy limitation and long delay in the operation of equipment by combining with simultaneous wireless information and power transfer (SWIPT). In this paper, we propose a SWIPT-MEC task hierarchical offloading model based on multi-objective optimization. The purpose is to offload different computing tasks to different MEC offloading levels through multi-objective optimization, so that the equipment can effectively reduce the consumption of energy and time in the face of computing task intensive scenes. Based on this model, a multi-objective MEC hierarchical optimization offloading strategy is proposed by using multi-objective optimization improved strength Pareto evolutionary algorithm 2 (SPEA2). The results of simulation experiments demonstrate that the multi-objective MEC task hierarchical offloading strategy can reduce the energy consumption rate and time consumption rate of the equipment during the offloading process.