无线电工程2024，Vol.54Issue(7)：1634-1642,9.DOI:10.3969/j.issn.1003-3106.2024.07.005
基于新型组网的无人机巡检任务处理优化方案
Task Processing Optimization Scheme of Unmanned Aerial Vehicle Inspection Based on New Networking
摘要
Abstract
Considering user mobility,especially in the scenario of unmanned aerial vehicle inspection,it is likely that task migration will occur due to the small service range of Multi-access Edge Computing(MEC)node.Task migration will increase task processing time delay and cost.To reduce the probability of task migration,a new MEC structure-MEC POOL is proposed.On this basis,a task processing benefit model of MEC POOL structure is constructed.The problem of optimal task processing benefit is converted into the problem of optimal solution under restricted conditions.In order to solve the above optimal solution problem,a particle swarm optimization algorithm based on task processing benefit optimization is designed.The experimental results show that the task processing benefit and task processing delay benefit of the MEC POOL scheme are improved by more than 10％compared to the traditional MEC scheme in the scenario of task migration.For multi-user scenario,the average task processing benefit is improved by more than 8％and the average task processing time delay is reduced by more than 10％.关键词
无人机巡检/任务处理/多接入边缘计算/新型组网Key words
unmanned aerial vehicle inspection/task processing/MEC/new networking scheme分类
信息技术与安全科学引用本文复制引用
解冬东,迟猛,程卫平,冯传奋,米波..基于新型组网的无人机巡检任务处理优化方案[J].无线电工程,2024,54(7):1634-1642,9.基金项目
山东省交通运输厅科技计划项目(2022B51)Science and Technology Plan Project of Transportation Department of Shandong Province(2022B51) （2022B51）
