Abstract:

In view of QoS rounting problem in mobile ad hoc networks, the author proposed a QoS routing algorithm integrated with Qlearning and improved ant colony algorithm. The algorithm combines the advantages of Qlearning with those of ant colony algorithm, and it takes Q value of Qlearning algorithm as the initial pheromone of ant colony algorithm, improves the initial convergence speed of the algorithm, at the same time, takes the node energy and load into account in path selection. Simulation results show that on the premise of guaranteeing QoS demand, the algorithm increases the effectiveness and robustness of routing and reduces energy consumption, and besides, packet delivery ratio, network lifetime and other indicators display better performances.

Key words: mobile ad hoc network, quality of service(QoS), Qlearning, improved ant colony algorithm, routing algorithm