Air–ground integrated deployment for UAV‐enabled mobile edge computing: A hierarchical game approach. Issue 15 (1st September 2020)

• Record Type: Journal Article
• Authors: Yu, Xingyue; Dong, Xu; Yang, Xiaoqin; Chen, Chaohui; Ruan, Lang; Song, Fei; Gong, Yuping
• Is Part Of: IET communications. Volume 14:Issue 15(2020)
• Page Start: 2491
• Page End: 2499
• Publication Date: 2020-09-01
• Subjects: game theory -- iterative methods -- autonomous aerial vehicles -- mobile computing -- control engineering computing; CFG -- data transmission -- data offloading -- energy consumption -- MEC system -- hierarchical game approach -- UAV‐enabled mobile edge computing -- distributed air–ground -- coalition formation game -- Stackelberg game -- ground networks -- ground nodes -- hierarchical game model -- unmanned aerial vehicle‐enabled mobile edge computing system -- air–ground integrated deployment method; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2019.1209
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : In this study, the air–ground integrated deployment method is studied for the unmanned aerial vehicle (UAV)‐enabled mobile edge computing (MEC) system. The UAV can help to reduce the delay and energy consumption of MEC. However, the limited coverage range of UAV limits the quality of data offloading. To improve the efficiency of data transmission, a hierarchical game model is designed. Ground nodes form multiple coalitions actively according to the position of UAV and the UAV adjusts the position based on the data distribution of ground networks. The relationship between the UAV and ground nodes is modelled as a Stackelberg game. A coalition formation game (CFG) is constructed for the data gathering among ground nodes. It is proved that the proposed CFG is an exact potential game with at least one Nash equilibrium. Moreover, the property of Stackelberg equilibrium is proven for the air–ground cooperative relationship. Based on the hierarchical model, a distributed air–ground integrated deployment algorithm is proposed to jointly optimise the position of the UAV and the coalition formation of ground nodes. The simulation results show that the proposed method promotes the efficiency of data transmission greatly and can converge to a stable state with reasonable iteration times.