Distributed UAV Deployment in Hostile Environment: A Game-Theoretic Approach
Chen Han, Aijun Liu, Kang An, Gan Zheng, Xinhai Tong
Abstract
As a new type of unmanned intelligent equipment, unmanned aerial vehicles (UAVs) have attracted growing attentions in various fields, such as electronic reconnaissance in jamming environments. However, the intense confrontation and high dynamics of the hostile jamming environments require a UAV swarm to achieve flexible and autonomous deployment optimization, and enhance anti-jamming capability. In this letter, a distributed UAV swarm’s deployment approach is proposed where a congestion game is formulated to model the interaction among the UAV swarm. Particularly, each UAV independently adjusts the location, and realizes the efficient, flexible and dynamic position control, thus increasing the amount of collected data and enhancing the anti-jamming performance. Moreover, the Nash equilibrium of the formulated congestion game is analyzed, and simulation results verify the effectiveness of the proposed approach.