Abstract
At present, the related research on UAV swarm resource scheduling pays attention to static mathematical modeling but can not adapt to the dynamic application, and pays attention to the assignment of tasks without considering the influencing factors of the network. This restricts the application of these studies in practice. In view of these problems, this paper proposes a resource scheduling algorithm for flexible networking, which establishes a UAV scheduling mechanism and a flexible networking strategy based on task requirements. The resource scheduling decision node is selected by betweeness centrality computing based on network topology. The simulation shows that the algorithm can flexibly schedule resources between task colonies according to demand, and effectively improve the utilization rate of resources.
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