本文对随机散播节点的无线传感器网络的路由策略进行探讨，提出了一个通过学习方法计算节点路由的算法。该方法计算路由时，只需要与邻接点交流少量信息，通过深度优先搜索策略，并结合节点路由历史经验，选择路搜索下一节点。该方法体现了分散自律系统方法和分布估计学习算法结合的优越性。仿真结果表明，该算法是一个快速高效的无线传感器网络路由算法。

This paper investigates the routing protocols for randomly distributed wireless sensor networks (WSNs). A learning algorithm is proposed for computing the path on routing,and only few information of the  adjacent nodes is necessary. By using the depth first search strategy,and remembering the historical experience of path on routing,we can find the next node,which illustrates the advantage of combining the  autonomous decentralized systems approach and the  distributed estimation learning algorithm. The simulation results show the usefulness and advantages of the developed algorithm.