Dynamic resource allocation of UAV swarms based on cooperative and competitive public goods game

The dynamic resource allocation of unmanned aerial vehicle (UAV) swarms is a challenging key technical problem in mission planning. In this paper, a dynamic resource allocation method based on a cooperative and competitive mechanism is proposed. The average income of the system is improved by designing regulation rules for special individuals. Finally, the feasibility and effectiveness of the proposed method for UAV dynamic resource allocation are verified according to the network structure, model parameters, and steady-state results of the system under different excitation mechanisms through simulation experiments of the UAV game model.

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