中文摘要：

在无线传感器网路的水下应用中，针对传统DV-Hop定位算法中锚节点能量消耗大，容易死亡这一问题，提出了一种基于低能耗自适应的定位算法（LSLA）．该算法中，当锚节点能量小于设定阈值时执行LSLA算法，由此得出的一组普通节点集合来替代进行定位，从而可以减少自己的能量消耗，同时对初步定位结果进行了循环位置修正．仿真实验表明，LSLA算法可以有效地提高网络节点的定位精度和延长锚节点的存活时间．

英文摘要：

In underwater wireless sensor network application, to solve the problem that anchor nodes are likely to die faster than sensor nodes since their high energy consumption in traditional DV-Hop algorithm, an improved DV-Hop algorithm （LSLA） is proposed based on low-energy self-healing. This algorithm finds a set of sensor nodes to substitute for any anchor node when its energy is less than the threshold, while this algorithm corrects the results of the initial positioning in circle. The simulation results show that the improved algorithm can improve the positioning accuracy effectively and prolong the anchor nodes lifetime comparing with conventional DV-Hop algorithm.