Multi-Node Collaborative Resource Allocation Method for Concurrent Tasks

Current unmanned aerial vehicle (UAV) and their mission system have been gradually developed in the direction of swarming together. However, the existing swarm coordination method usually realizes the parallel execution of multiple tasks through the assignment missions for various nodes, so the number of concurrent missions supported by the system is minimal, which is challenging to meet the requirements of electromagnetic monitoring tasks in the natural electromagnetic environment. Therefore, this paper introduces the idea of time-division multiplexing and proposes a time resource allocation algorithm for concurrent tasks oriented to multi-node synchronous cooperation. Based on the fixed-priority scheduling strategy, the algorithm can reasonably schedule sensor resources of each UAV node according to priority constraints, which improves the concurrent task processing capability of the UAV swarm. Through the fast schedulability test based on blocking interval, the task's parameters can be adjusted quickly to ensure the mission's correct execution and improve the UAV swarm's dynamic adaptability. Finally, simulation verifies the proposed algorithm's effectiveness and feasibility.