Deployment and Networking Methods of UAV Swarm in Jamming Environments Based on Game Theory

A deployment and networking methods of Unmanned Aerial Vehicle (UAV) swarm based on game theory in the jamming environments is investigated in this paper. Firstly, a Congestion-game based UAV swarm Deployment algorithm (CUD)is proposed. Each UAV can autonomously optimize its position through limited interaction with adjacent UAVs to increase the amount of collected data and enhance the anti-jamming capabilities. Secondly, a UAV Swarm Anti- jamming Coalition Formation algorithm (USACF) is proposed, which enables the UAV swarm to form dynamic sub- networks in a distributed way under the threat of hostile jamming, thus improving the transmission performance and enhancing the robustness and reliability of the UAV networks. Furthermore, it is proved theoretically that the proposed game model can achieve a stable Nash equilibrium with the aid of exact potential game theory. Finally, simulation results verify that the proposed algorithms have obvious performance improvement compared with the conventional algorithms.