Evolutionary game analysis of behaviour strategy for UAV swarm in communication‐constrained environments

Abstract

Abstract In the process of unmanned aerial vehicles (UAV) cluster coordination, communication obstruction may cause situational misjudgement and increase the risk of decision‐making errors. Therefore, based on evolutionary game theory, this research aimed to study the behaviour decision‐making selection problem in the process of UAV swarm missions in limited communication networks. First, the evolution process of the UAV swarm confrontation game is analyzed and the decision‐making risks associated with the communication network of the UAV swarm during coordination, which are caused by the complex confrontation environment are identified. Second, the decision‐making risks and mechanisms of UAV swarm communication is discussed and an evolutionary game mathematical model for the cooperative strategy of a UAV swarm under communication constraints is established. Finally, the influence of various key parameters is simulated and analyzed, such as the initial strategy probability of both parties, amount of platform information data, information analysis and utilization ability, and information interaction coefficient, on the evolution of the UAV swarm strategy. This research provides a theoretical basis and feasible reference for the improvement of UAV mission decision response mechanisms and system model construction, which have important theoretical value and practical significance.