Large-Scale IoT Devices Repair Tasks Based on Online Task Offloading

This paper investigates the optimization problem of task allocation for multi-UAV cooperation in the repair of Internet of Things (IoT) devices. By introducing a game-theoretic model and evolutionary game strategies, the paper addresses task conflicts and allocation efficiency among UAVs. The model comprehensively considers the priorities of devices, the computational resource demands of devices, as well as the computational capacity and locations of UAVs, and designs a dynamic task allocation mechanism. Simulation experiments demonstrate that the proposed method exhibits good task allocation efficiency and system stability in multi-task environments, while ensuring balanced task distribution and efficient resource utilization.