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Hypothesis testing and decision theoretic approach for fault detection in wireless sensor networks

机译:无线传感器网络中用于故障检测的假设检验和决策理论方法

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Sensor networks aim at monitoring their surroundings for event detection and object tracking. In practice, due to failure or death of sensors, false signal can be transmitted. In this article, we consider the problem of fault detection in wireless sensor networks, in particular, addressing both the noise-related measurement error and sensor fault simultaneously in fault detection. We assume that the sensors are placed at the centre of a square (or hexagonal) cell in the region of interest (ROI) and, if the event occurs, it occurs at a particular cell of the ROI. We propose fault detection schemes that consider error probabilities in the optimal event detection process. We develop the schemes under the consideration of Neyman-Pearson hypothesis test and Bayes test.
机译:传感器网络旨在监视其周围环境以进行事件检测和对象跟踪。实际上,由于传感器的故障或死亡,可能会传输错误的信号。在本文中,我们考虑了无线传感器网络中的故障检测问题,尤其是在故障检测中同时解决了与噪声相关的测量误差和传感器故障。我们假设传感器放置在感兴趣区域(ROI)中正方形(或六边形)单元的中心,并且如果事件发生,它会在ROI的特定单元处发生。我们提出了在最佳事件检测过程中考虑错误概率的故障检测方案。我们在考虑Neyman-Pearson假设检验和Bayes检验的情况下制定了方案。

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