Resource Allocation and Trajectory Optimization of the UAV Based on Mobile Edge Computing
CUI Weiqing
Abstract：Sensors in wireless sensor network have limited computing capability,and it is not convenient to harvest the stored information for processing.To address this problem,an UAV assisted mobile edge computing system is proposed in wireless sensor network,and a dynamic task caching model based on the UAV is presented.In this paper,the block coordinate descent algorithm on the strength of the beetle swarm optimization is used to maximize the energy efficiency of the UAV.And the optimal UAV trajecto-ry is derived by the beetle swarm optimization based on Cubic mapping and Lėvy flight mutation mechanism.Numerical results in-dicate that the proposed algorithm improve the energy efficiency of the UAV compared with other solutions,and then increase the revenue of the total mobile edge computing system.
Keywords：unmanned aerial vehicle(UAV)resource allocationtrajectory optimizationbeetle swarm optimizationblock coordinate descent algorithm
Publication Date：2023-10-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2318-2322,2389 )