SDN intelligent routing based on improved deep reinforcement learning
An improved DQN algorithm(R_DQN)based on graph neural network(GNN)and priority experience playback is designed.The algorithm uses message passing network framework to spread information between graph structure nodes,which can better adapt to the graph structure information such as network topology.At the same time,priority experience playback mechanism is adopted to learn more valuable information,improve the efficiency of sample learning,and implement the algorithm.optimization.The experimental results show that the R_DQN algorithm has strong generalization ability in network topology and service model,still has good performance for network scenarios that have not been seen during training,and has a great improvement in maximizing traffic performance.
deep reinforcement learningsoftware-defined networkgraph neural network(GNN)
万方数据
维普
