感-通-物多目标融合应急无人机路径规划方法
Integrated perception-communication-logistics multi-objective oriented path planning for emergency UAVs
摘要
Abstract
In order to complete the tasks of demand perception(perception),data collection(communication),and mate-rial delivery(logistics)at disaster relief sites in multi-UAV emergency scenarios,a two-stage solution framework was proposed for multi-UAV path planning that integrated perception,communication,and logistics objective considering UAV energy consumption constraint.In the first stage,a temporal graph convolution networks-based model was intro-duced to predict the number of personnel at the relief sites to quantify its supply and communication needs.In the second stage,a multi-UAV path planning algorithm based on the greedy and tabu search was proposed to solve the optimization problem through iteratively optimizing the relief point clustering and the path planning of individual UAV.The simula-tion results demonstrate that the proposed algorithm is superior to the traditional prediction-free multi-UAV path plan-ning algorithm in terms of the total service revenue.关键词
无人机/路径规划/时序图卷积网络/禁忌搜索Key words
UAV/path planning/temporal graph convolution network/tabu search分类
信息技术与安全科学引用本文复制引用
许云鹏,谢雅琪,于然,侯鲁洋,王凯亮,徐连明..感-通-物多目标融合应急无人机路径规划方法[J].通信学报,2024,45(4):1-12,12.基金项目
国家自然科学基金资助项目(No.62171054,No.62101045) （No.62171054,No.62101045）
中央高校基本科研业务费专项资金资助项目(No.24820232023YQTD01,No.2023RC96) （No.24820232023YQTD01,No.2023RC96）
"双一流"建设学科交叉团队基金资助项目(No.2023SYLTD06) （No.2023SYLTD06）
国网冀北电力有限公司科技项目:面向电力野外应急的感传协同通信保障关键技术研究及示范应用基金资助项目(No.52018E230001) （No.52018E230001）
北京市自然科学基金资助项目(No.L222041)The National Natural Science Foundation of China(No.62171054,No.62101045),The Fundamental Research Funds for the Central Universities(No.24820232023YQTD01,No.2023RC96),Double First-Class Interdisciplinary Team Project Funds(No.2023SYLTD06),The Science and Technology Foundation of the State Grid Jibei Electric Power Company Limited,Re-search on Key Technology and Demonstrative Application of Collaborative Sensing-Communication Assurance for Power Operations in Emergency Fields(No.52018E230001),Beijing Municipal Natural Science Foundation(No.L222041) （No.L222041）
