Energy-efficient multi-UAV coverage deployment in UAV networks: A game-theoretic framework

• Published in: China communications Vol. 15; no. 10; pp. 194 - 209
• Main Authors: Ruan, Lang, Wang, Jinlong, Chen, Jin, Xu, Yitao, Yang, Yang, Jiang, Han, Zhang, Yuli, Xu, Yuhua
• Format: Journal Article
• Language: English
• Published: China Institute of Communications 01.10.2018; College of Communications Engineering, Army Engineering University of PLA, Nanjing, 210000, China; Key Embedded Technology and Intelligent System Laboratory, College of Information Science and Engineering, Guilin University of Technology, Guilin 541006, China.%College of Communications Engineering, Army Engineering University of PLA, Nanjing, 210000, China
• Subjects: Adaptation models; Drones; Energy efficiency; energy-efficient; Games; multi-UAV coverage; Nash equilibrium; Optimization; potential games; Power control; UAV networks; energy-efficient; Nash equilibrium; UAV networks; potential games; multi-UAV cov-erage
• ISSN: 1673-5447
• DOI: 10.1109/CC.2018.8485481

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.