计算机与数字工程2023，Vol.51Issue(10)：2318-2322,2389,6.DOI:10.3969/j.issn.1672-9722.2023.10.020
基于移动边缘计算的无人机资源分配及轨迹优化
Resource Allocation and Trajectory Optimization of the UAV Based on Mobile Edge Computing
崔维庆1
作者信息
- 1. 中国石油大学(华东)计算机科学与技术学院 青岛 266580
- 折叠
摘要
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.关键词
无人机/资源分配/轨迹优化/天牛群算法/块坐标下降法Key words
unmanned aerial vehicle(UAV)/resource allocation/trajectory optimization/beetle swarm optimization/block coordinate descent algorithm分类
信息技术与安全科学引用本文复制引用
崔维庆..基于移动边缘计算的无人机资源分配及轨迹优化[J].计算机与数字工程,2023,51(10):2318-2322,2389,6.
