Distributed Detection for Landslide Prediction using Wireless Sensor Network
Distributed Detection for Landslide Prediction using Wireless Sensor Network
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DOI：
10.1109/giis.2007.4404190
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发表时间：
2007-07
期刊：
影响因子：
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通讯作者：
P. Mehta;D. Chander;M. Shahim;K. Tejaswi;S. Merchant;U. Desai
中科院分区：
文献类型：
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作者：
P. Mehta;D. Chander;M. Shahim;K. Tejaswi;S. Merchant;U. Desai
在本文中，我们提出了一个无线传感器网络（WSN）架构的滑坡预测在岩石山区的康坎铁路。整个方案有两个主要组成部分：（i）磨损水平，容错的能源效率路由协议和（ii）分布式决策的发生或不发生的滑坡。本文的重点是滑坡应变数据的统计建模和分布式决策算法。我们在NT孟买的试验台上模拟岩石样品上的压力变化，并测量相应的应变。该应变数据使用可变平均高斯过程（VMGP）建模。我们研究了不同的分布式决策算法，发现分布式标量检测（DSBD）给出了良好的结果，集中式检测（CD）计划方面的漏检概率，虚警概率，在节点处的能量消耗较少。受试者工作特征（ROC）曲线，比较不同方案的相对性能。在一个简单的mica2实验平台上对CD方案进行了仿真。
In this paper we propose a wireless sensor network (WSN) architecture for landslide prediction in the rocky mountain regions of the Konkan Railways. The overall scheme has two major components: (i) Wear leveled, fault tolerant energy efficient routing protocol and (ii) distributed decision on the occurrence or non-occurrence of landslide. In this paper our focus is on statistical modeling of the landslide strain data and subsequent distributed decision algorithm. We simulate pressure variation on rock samples in a testbed at NT-Bombay and measure the corresponding strain. This strain data is modeled using variable mean Gaussian process (VMGP). We examine different distributed decision algorithms and find that the distributed scalar based detection (DSBD) gives as good results as the centralized detection (CD) scheme with respect to probability of missed detection, probability of false alarm, with lesser energy consumption at nodes. Receiver operating characteristic (ROC) curves are presented to compare the relative performance of different schemes. Simulation of CD scheme was also done on a simple mica2 testbed.