中文摘要：

当sink节点位置固定不变时,分布在sink节点周围的传感节点很容易成为枢纽节点,因转发较多的数据而过早失效.为解决上述问题,提出移动无线传感网的生存时间优化算法（LOAMWSN）.LOAMWSN算法考虑sink节点的移动,采用减聚类算法确定sink节点移动的锚点,采用最近邻插值法寻找能遍历所有锚点的最短路径近似解,采用分布式非同步Bellman-Ford算法构建sink节点k跳通信范围内的最短路径树.最终,传感节点沿着最短路径树将数据发送给sink节点.仿真结果表明：在节点均匀分布和非均匀分布的无线传感网中,LOAMWSN算法都可以延长网络生存时间、平衡节点能耗,将平均节点能耗保持在较低水平.在一定的条件下,比Ratio_w、TPGF算法更优.

英文摘要：

When the position of sink node is fixed,the sensor nodes which are distributed around the sink node easily become hub nodes,forward a lot of data and fail prematurely.In order to solve this problem,the lifetime optimization algorithm for mobile wireless sensor network （LOAMWSN） was proposed.LOAMWSN algorithm considers the mobility of sink node,uses subtractive cluster algorithm to determine mobile anchor points of sink node,uses the nearest neighbor interpolation method to find the approximate solution of shortest route which traverse all mobile anchor points,uses distributed asynchronous Bellman-Ford algorithm to construct the shortest path tree in the k-hop range of sink node.Finally,sensor nodes transmit data to sink node along the shortest path tree.Simulation results show that in wireless sensor network of node uniform distribution and non-uniform distribution,LOAMWSN algorithm can prolong the network lifetime,balance the node energy consumption,and remain the average node energy consumption at a low level.Under certain conditions,it outperforms Ratio_w and TPGF algorithms.