Allan方差在传感器网络数据控制中的应用

2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT) Pub Date : 2021-09-21 DOI:10.1109/aict52120.2021.9628918

V. Krizhanovski, V. Komarov, S. Serhiienko, V. Kryzhanovskyi

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引用次数: 0

摘要

这项工作提出了动态Allan方差在数据采集系统、网络物理系统和物联网(IoT)中检测故障或外部干预的应用。本文采用模拟的方法，从某一时间点开始，对加入各种光谱随机噪声的多个样本数据序列进行了分析。结果表明，动态Allan方差可以检测到随机数据序列的统计特性因添加噪声而发生的变化。这可以作为传感器网络中自动数据控制的方法之一。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of Allan variance for data control in sensor networks

This work proposes application of dynamic Allan variance for detection of failures or external interventions in data acquisition systems, cyber-physical systems, and Internet-of-Things (IoT). The work analyzed a number of sample data sequences to which a random noise of various spectra was added by means of simulation starting from some point of time. It was demonstrated that the dynamic Allan variance could detect the changes in the statistical characteristics of the random data sequence caused by the added noise. This can be one of the methods of automatic data control in sensor networks.

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2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)

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