On Threshold-Free Error Detection for Industrial Wireless Sensor Networks
On Threshold-Free Error Detection for Industrial Wireless Sensor Networks
复制标题
工业无线传感器网络的无阈值错误检测
DOI：
10.1109/tii.2017.2785395
复制
发表时间：
2018-05-01
影响因子：
12.3
通讯作者：
Wang, Haodong
中科院分区：
文献类型：
--
作者：
Gao, Jianliang;Wang, Jianxin;Wang, Haodong
大数据的重要来源之一是无线传感器网络收集的数据集。然而，传感器数据中的错误可能导致工业应用中的严重损害。因此，错误检测在工业无线传感器网络中起着至关重要的作用。现有的错误检测方法通常是基于阈值的，其依赖于预定阈值来判断阅读是否是错误的。然而，基于阈值的方法往往无法在检测精度和虚警率之间取得平衡。因此，如果不是不可能的话，也很难为实际应用中的各种错误获得适当的阈值。出于这种考虑，我们提出了一种新的无阈值错误检测方法的IWSNs。通过利用传感器读数之间的时空相关性，我们提出的模型来表征传感器对之间的关系，从而构建一个相关图的IWSN。在相关图中，节点的状态，即，传感器读数的状态被准确地利用而不需要任何阈值。通过在真实的传感器上的实验和仿真，我们证明了该方法能够显着提高检测精度，同时大大降低了虚警率。
One of the important sources for big data is the datasets collected by wireless sensor networks. However, errors in sensor data could result in serious damages in industrial applications. Therefore, error detection plays a crucial role in industrial wireless sensor networks (IWSNs). Existing approaches of error detection are generally threshold-based, which rely on a predetermined threshold to judge whether a reading is erroneous. The threshold-based approaches, however, often fail to balance between detection accuracy and false alarm rate. It is thus difficult, if not impossible, to obtain a proper threshold for various errors in real-world applications. Motivated by this consideration, we propose a novel threshold-free error detection approach for IWSNs. By taking the advantage of the spatiotemporal correlations between sensor readings, we present the model to characterize the relationship between sensor pairs and, thus, construct a correlation graph for IWSN. In the correlation graph, the states of nodes, i.e., the states of sensor readings, are accurately exploited without requiring any threshold. Through the experiments on both real sensors and simulations, we demonstrate that the proposed approach is able to significantly improve the detection accuracy while largely reducing the false alarm rate.