Fault-resilient localization for underwater sensor networks
Fault-resilient localization for underwater sensor networks
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DOI：
10.1016/j.adhoc.2016.09.003
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发表时间：
2017-02
期刊：
影响因子：
4.8
通讯作者：
Anjana P. Das;Sabu M. Thampi
中科院分区：
文献类型：
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作者：
Anjana P. Das;Sabu M. Thampi
由于环境特征、传感器节点的移动性和缺乏全球定位系统（GPS）服务，定位是水下传感器网络（UWSN）的关键问题之一。水下特性的移动建模和容错极其困难。在这个能量约束网络中，需要一种具有最少通信和 GPS 支持的自适应定位方案。我们提出了一种容错定位方案，该方案以最小的通信开销提供良好的定位精度。为了避免锚节点故障，传感器节点通过使用多元线性回归学习其邻居的移动行为来预测其位置。因此，即使在锚节点发生意外故障后，数据传播过程也可以继续。我们模拟网络并分析定位精度。通过不同测试用例的多次实验来分析位置预测系统的有效性。实验结果表明，来自三个紧邻的最后 10 个位置信息足以进行准确预测，并且该定位方案非常适合中程 UWSN。
Localization is one of the critical issues in underwater sensor networks (UWSNs) on grounds of environmental characteristics, mobility of sensor nodes, and lack of global positioning system (GPS) services. Mobility modeling and fault tolerance with respect to underwater characteristics are extremely difficult. In this energy constraint network, an adaptive localization scheme with minimum communication and GPS support is required. We propose a fault-resilient localization scheme, which provides good localization accuracy with minimal communication overhead. To resile from an anchor node failure, a sensor node predicts its position by learning the mobility behavior of its neighbors using multiple linear regression. Therefore, the data dissemination process can continue even after an unexpected case of anchor node failure. We simulate the network and analyze the localization accuracy. Several experiments with different test cases are conducted to analyze the validity of the location prediction system. Experimental results show that the last 10 location information from three immediate neighbors are adequate for accurate prediction and the localization scheme is well suited for medium-range UWSNs.