Energy-Efficient Multi-UAV Coverage Deployment in UAV Networks: A Game-Theoretic Framework

被引:185
作者
Ruan, Lang [1 ,2 ]
Wang, Jinlong [1 ]
Chen, Jin [1 ]
Xu, Yitao [1 ]
Yang, Yang [1 ]
Jiang, Han [1 ]
Zhang, Yuli [1 ,2 ]
Xu, Yuhua [1 ,2 ]
机构
[1] Army Engn Univ PLA, Coll Commun Engn, Nanjing 210000, Jiangsu, Peoples R China
[2] Guilin Univ Technol, Coll Informat Sci & Engn, Key Embedded Technol & Intelligent Syst Lab, Guilin 541006, Peoples R China
基金
中国国家自然科学基金;
关键词
UAV networks; multi-UAV coverage; energy-efficient; potential games; Nash equilibrium;
D O I
10.1109/CC.2018.8485481
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
UAV cooperative control has been applied in many complex UAV communication networks. It remains challenging to develop UAV cooperative coverage and UAV energy-efficient communication technology. In this paper, we investigate current works about UAV coverage problem and propose a multi-UAV coverage model based on energy-efficient communication. The proposed model is decomposed into two steps: coverage maximization and power control, both are proved to be exact potential games (EPG) and have Nash equilibrium (NE) points. Then the multi-UAV energy-efficient coverage deployment algorithm based on spatial adaptive play (MUECD-SAP) is adopted to perform coverage maximization and power control, which guarantees optimal energy-efficient coverage deployment. Finally, simulation results show the effectiveness of our proposed approach, and confirm the reliability of proposed model.
引用
收藏
页码:194 / 209
页数:16
相关论文
共 50 条
[31]   Energy Efficient Resource Allocation and Trajectory Design for Multi-UAV-Enabled Wireless Networks [J].
Wu, Chenyu ;
Shi, Shuo ;
Gu, Shushi ;
Zhang, Ning ;
Gu, Xuemai .
2021 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2021,
[32]   Energy-Efficient General PoI-Visiting by UAV With a Practical Flight Energy Model [J].
Shan, Feng ;
Huang, Jianping ;
Xiong, Runqun ;
Dong, Fang ;
Luo, Junzhou ;
Wang, Suyang .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2023, 22 (11) :6427-6444
[33]   ETD: An Efficient Time Delay Attack Detection Framework for UAV Networks [J].
Zhai, Wenbin ;
Liu, Liang ;
Ding, Youwei ;
Sun, Shanshan ;
Gu, Ying .
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 18 :2913-2928
[34]   Multi-Agent Deep Reinforcement Learning for Trajectory Design and Power Allocation in Multi-UAV Networks [J].
Zhao, Nan ;
Liu, Zehua ;
Cheng, Yiqiang .
IEEE ACCESS, 2020, 8 :139670-139679
[35]   Energy-Efficient IoE Networks Deployment for Future Smart Cities [J].
Hassan, Sheikh Salman ;
Kim, Dong Uk ;
Kang, Seok Won ;
Hong, Choong Seon .
2022 23RD ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2022), 2022, :67-72
[36]   A game-theoretic approach for the multi-objective frequency assignment problem in mobile networks [J].
Laidoui, Fatma ;
Tayeb, Fatima Benbouzid-Si ;
Bessedik, Malika ;
Laidi, Fatima Zahra .
PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20), 2020, :1002-1009
[37]   Towards Efficient Computation Offloading in Multi-user MEC Environments: A Game-Theoretic Approach [J].
Temghart, Abdelkarim Ait ;
Marwan, Mbarek ;
Ouaskou, Mohamed ;
Baslam, Mohamed .
DIGITAL TECHNOLOGIES AND APPLICATIONS, ICDTA 2024, VOL 4, 2024, 1101 :133-143
[38]   Efficient Multi-Channel Computation Offloading for Mobile Edge Computing: A Game-Theoretic Approach [J].
Chu, Shuhui ;
Fang, Zhiyi ;
Song, Shinan ;
Zhang, Zhanyang ;
Gao, Chengxi ;
Xu, Chengzhong .
IEEE TRANSACTIONS ON CLOUD COMPUTING, 2022, 10 (03) :1738-1750
[39]   Energy-efficient design of heterogeneous cellular networks from deployment to operation [J].
Son, Kyuho ;
Oh, Eunsung ;
Krishnamachari, Bhaskar .
COMPUTER NETWORKS, 2015, 78 :95-106
[40]   Energy-Efficient Multi-Agent Deep Reinforcement Learning Task Offloading and Resource Allocation for UAV Edge Computing [J].
Xu, Shu ;
Liu, Qingjie ;
Gong, Chengye ;
Wen, Xupeng .
SENSORS, 2025, 25 (11)