关键词: 无线Mesh网络;蚁群算法;量子行为粒子群优化算法

Abstract:

For the network latency that is caused by the inequalities of wireless Mesh network bandwidth and load energy, and low operation speed of the routing algorithm and so on, a kind of adaptive species optimization of Wireless Mesh Network QoS routing algorithm (AQPSO) was proposed. To avoid the transmission delay and congestion of the data, the algorithm uses route evaluation function to search the best node path and through ant pheromone updating rules to balance the network load. Meanwhile, combined with the speciation policy of quantum behavior particle swarm optimization algorithm, a best position field adaptive search pattern was put forward, which improved the convergence speed of the algorithm. Viewing from the network latency and the algorithm convergence speed, the simulation results show that the proposed algorithm has a better effect than the improved ant colony QoS routing algorithm and QoS routing algorithm based on genetic algorithm.

Key words: wireless Mesh network; ant colony algorithm; quantum behavior of particle swarm optimization