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Underwater Acoustic Sensor Networks Node Localization Based on Compressive Sensing in Water Hydrology

机译：水文学中基于压缩感知的水下声传感器网络节点定位

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Groundwater is an important source of human activities, agriculture and industry. Underwater Acoustic Sensor Networks (UASNs) is one of the important technologies for marine environmental monitoring. Therefore, it is of great significance to study the node self- localization technology of underwater acoustic sensor network. This paper mainly studies the node localization algorithm based on range-free. In order to save cost and energy consumption, only a small number of sensing nodes in sensor networks usually know their own location. How to locate all nodes accurately through these few nodes is the focus of our research. In this paper, combined with the compressive sensing algorithm, a range-free node localization algorithm based on node hop information is proposed. Aiming at the problem that connection information collected by the algorithm is an integer, the hop is modified to further improve the localization performance. The simulation analysis shows that the improved algorithm is effective to improve the localization accuracy without additional cost and energy consumption compared with the traditional method.
机译：地下水是人类活动，农业和工业的重要来源。水下声传感器网络（UASN）是用于海洋环境监测的重要技术之一。因此，研究水下声传感器网络的节点自定位技术具有重要意义。本文主要研究基于无范围的节点定位算法。为了节省成本和能耗，通常传感器网络中只有少数传感节点知道它们自己的位置。如何通过这几个节点准确定位所有节点是我们研究的重点。结合压缩感知算法，提出了一种基于节点跳信息的无范围节点定位算法。针对该算法收集的连接信息为整数的问题，对该跳进行了修改，以进一步提高定位性能。仿真分析表明，与传统方法相比，改进算法有效地提高了定位精度，且不增加成本和能耗。

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