Application of Allan variance for data control in sensor networks
V. G. Krizhanovski, Vasyl Komarov, Sergii Serhiienko, Volodymyr Kryzhanovskyi · 2021
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.