Multi-path QoE Routing Algorithm for wireless mesh network Based on Q-Learning

To address the problem of poor quality of experience(QoE) of wireless mesh network users in the current video streaming service, a wireless mesh network multi-path QoE algorithm based on Q-learning(QLMPQ) is proposed. The selection strategy is used to find the optimal master-slave path to improve the reliability of data transmission. Virtual simulation experiments are carried out under the conditions of different concurrent flows to verify the feasibility and accuracy of the algorithm. The experimental results show that compared with Q-Routing, QLAODV, and AODV algorithms, this algorithm can significantly improve the performance of wireless mesh networks.