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

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

作     者:Lang Ruan Jinlong Wang Jin Chen Yitao Xu Yang Yang Han Jiang Yuli Zhang Yuhua Xu 

作者机构:College of Communications Engineering Army Engineering University of PLA Key Embedded Technology and Intelligent System Laboratory College of Information Science and Engineering Guilin University of Technology 

出 版 物:《China Communications》 (中国通信(英文版))

年 卷 期:2018年第15卷第10期

页      面:194-209页

核心收录:

学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0839[工学-网络空间安全] 082503[工学-航空宇航制造工程] 0825[工学-航空宇航科学与技术] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:supported by the National Natural Science Foundation of China under Grant No. 61771488 in part by the Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province under Grant No. BK20160034 in part by the Open Research Foundation of Science and Technology on Communication Networks Laboratory the Guang Xi Universities Key Laboratory Fund of Embedded Technology and Intelligent System (Guilin University of Technology) 

主  题:通讯网络 UAV 精力 框架 比赛 通讯技术 纳什平衡 最大化 

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.

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