Art

J-GLOBAL ID：202402255620701989   Reference number：24A0213785

Energy-Efficient Multi-UAVs Cooperative Trajectory Optimization for Communication Coverage: An MADRL Approach

通信カバレッジのためのエネルギー効率の良いマルチUAV協調軌道最適化:MADRLアプローチ【JST・京大機械翻訳】

Author (11)： Ao Tianyong (School of Artificial Intelligence, Henan University, Zhengzhou 450046, China) ,  Ao Tianyong (International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Zhengzhou 450046, China) ,  Zhang Kaixin (School of Artificial Intelligence, Henan University, Zhengzhou 450046, China) ,  Zhang Kaixin (International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Zhengzhou 450046, China) ,  Shi Huaguang (School of Artificial Intelligence, Henan University, Zhengzhou 450046, China) ,  Shi Huaguang (International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Zhengzhou 450046, China) ,  Jin Zhanqi (School of Artificial Intelligence, Henan University, Zhengzhou 450046, China) ,  Jin Zhanqi (International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Zhengzhou 450046, China) ,  Zhou Yi (School of Artificial Intelligence, Henan University, Zhengzhou 450046, China) ,  Zhou Yi (International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Zhengzhou 450046, China) ,  Liu Fuqiang (College of Electronic and Information Engineering, Tongji University, Shanghai 201804, China)
Material： Remote Sensing (Web)
Volume： 15  Issue： 2  Page： 429  Publication year： 2023 
JST Material Number： U7270A  ISSN： 2072-4292  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Unmanned Aerial Vehicles (UAVs...

Register(free) or Log In to access     To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=24A0213785&from=J-GLOBAL&jstjournalNo=U7270A") }}

Thesaurus term： algorithm ,  *optimization ,  simulation ,  game ,  redundancy(property) ,  network ,  optimization method ,  base station ,  remotely piloted vehicle ,  *telecommunication ,  throughput ,  agent
Semi thesaurus term： ワイヤレス ,  オンデマンド ,  無線ネットワーク ,  マルチエージェント , 【Automatic Indexing@JST】

Author keywords (4)： Multi-Agent Deep Reinforcement Learning (MADRL) ,  multi-UAVs trajectory optimization ,  emergency communication ,  attention mechanism

JST classification (2)： Artificial intelligence  (JE08000Z) ,  Mobile communication  (ND08030H)

Reference (43)：

• Guo, Q.; Peng, J.; Xu, W.; Liang, W.; Jia, X.; Xu, Z.; Yang, Y.; Wang, M. Minimizing the Longest Tour Time Among a Fleet of UAVs for Disaster Area Surveillance. IEEE Trans. Mob. Comput. 2022, 7, 2451-2465.
• Qadir, Z.; Ullah, F.; Munawar, H.S.; Al-Turjman, F. Addressing Disasters in Smart Cities Through UAVs Path Planning and 5G Communications: A Systematic Review. Comput. Commun. 2021, 2, 114-135.
• Wang, Y.; Su, Z.; Luan, T.H.; Li, R.; Zhang, K. Federated Learning with Fair Incentives and Robust Aggregation for UAV-Aided Crowdsensing. IEEE Trans. Network Sci. Eng. 2022, 9, 3179-3196.
• Mozaffari, M.; Saad, W.; Bennis, M.; Nam, Y.H.; Debbah, M. A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems. IEEE Commun. Surv. Tutorials 2019, 9, 2334-2360.
• Cao, X.; Yang, P.; Alzenad, M.; Xi, X.; Wu, D.; Yanikomeroglu, H. Airborne Communication Networks: A Survey. IEEE J. Sel. Areas Commun. 2018, 36, 1907-1926.

Terms in the title (7)： カバレッジ ,  エネルギー効率 ,  マルチ ,  UAV ,  協調 ,  軌道 ,  最適化