Uncertain Preference Matching-Based Relay Selection and Position Adjustment in Dynamic UAV Systems

In this paper, we investigate the relay drone selection and position adjustment methods to maintain the stable data feedback of mission drones. In distributed unmanned aerial vehicle (UAV) systems, mission drones are assigned to perform dynamic tasks, so they need to adjust flight positions in realtime according to the movements and changes of performed tasks. When it is not possible to establish stable transmission links between mission drones with the ground controller, relay drones are required to assist in the data transmission. To address the issue of unknown and dynamic flight trajectories of mission drones, an uncertain preference matching game-based relay drone selection algorithm is proposed, where the comprehensive transmission expectation within the flight range is taken into consideration. Moreover, an online location adjustment method is proposed for relay drones. The simulation results show that the proposed distributed relay selection and online flight adjustment algorithm effectively optimize the transmission rate and ensure the transmission stability of the whole network.