Unmanned aerial vehicle flight self-organizing network routing and topological optimization method

The invention relates to an unmanned aerial vehicle flight self-organizing network routing and topological optimization method, which is used for performing routing decision and topological optimization in a data packet receiving and transmitting process of each node of an unmanned aerial vehicle flight self-organizing network. Comprising the following steps: routing decision: predicting a connection probability between nodes according to network parameters sensed in a data packet receiving and transmitting process, updating a state value table, and selecting an action with the lowest expected cost as output, namely a next-hop relay set; and topology optimization: updating the node speed according to the node state value to optimize the network topology structure, improving the network connectivity and reducing the link hop count to achieve the goal of saving global energy. Compared with the prior art, the method has the advantages of being low in energy consumption, high in effectiveness and capable of impro