In the process of satellite network data transmission, routing which determines the overall performance of the satellite network plays a very important role. However, time-varying network topology and limited network resources bring great challenges to the design of satellite network routing algorithms. Considering the constraints of limited link resources and storage resources of satellite network with highly dynamic topology, an integer programming model is constructed to transform the routing planning problem into a single path multicommodity flow problem, and a routing strategy based on Q-Learning is proposed to solve the problem. Finally, compared with CGR routing algorithm, the routing algorithm based on Q-Learning has better performance in average delay.
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