中文摘要：

过去,大部分的无线传感器网络（WSN）的应用局限于数据的采集,比较少地关注网络中各节点的协同合作,现有的WSN路由算法对于网络的动态性的支持力度非常弱,不能满足分布式的无线网络和无线传感器网络应用对于网络服务质量的需求,路由优化能力不足.通过综合考虑多个服务质量指标,然后基于智能遗传算法微粒群算法进行路由寻优,为路由寻优提供了很好的搜索能力.仿真结果表明,基于微粒群优化算法,以综合服务质量（QoS）指标为目标的路由很好地改善了其服务质量性能.

英文摘要：

In the past,most of the wireless sensor network（WSN） applications were limited to data collection,and less attention was paid on the collaboration in the network.The weak support of the existing WSN routing algorithm for dynamic in network can not meet the service requirements of the distributed wireless networks and wireless sensor network applications.Based on a comprehensive consideration of the quality of service（QoS） indicators,and a routing search according to an intelligent particle swarm optimization（PSO）algorithm.New algorithm provides a very good search capabilities.The simulation results show that the PSO-based routing with a comprehensive QoS indicator improves well the service quality.