CN CN120751496A
The invention discloses an unmanned aerial vehicle cluster network resource optimization method, which comprises the following steps: extracting demand quantity and demand priority of nodes for different types of resources according to resource demand data of each node, and calculating resource demand space-time distribution characteristics of each node in combination with a node adjacency matrix to obtain a node resource demand concentration index; extracting communication load distribution conditions among nodes from a node task unloading scheme, evaluating signal interference intensities on different links in combination with a network interference model of an unmanned aerial vehicle cluster, and minimizing network interference by dynamically adjusting communication frequencies and transmitting powers of the nodes; and according to the optimized communication path, task unloading scheme and interference avoidance measure, updating the network topology structure of the unmanned aerial vehicle cluster to minimize the network diameter, and generating a scheduling strategy of global resource optimization. According to the scheduling strategy of global resource optimization generated by the method, real-time state feedback can be realized to realize adaptive response, and the resource utilization efficiency and the network performance of the unmanned aerial vehicle cluster are effectively improved.
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