Development of a Multifactor Forecasting Method for Dependability Measures of IIoT-Systems

Viacheslav Tsvetkov, Sergey Polesskiy, Leonid Lander, Pavel Korolev
15m
In the context of this study, a method for assessing the dependability measures of Industrial Internet of Things (IIoT) systems is proposed, which takes into account the hardware and network components of the systems, as well as the software. Existing and practical methods for assessing the dependability of IIoT systems, along with their advantages and disadvantages, are presented and analyzed. Based on the obtained data, an enhanced method for multifactor forecasting of the dependability measures of IIoT systems is developed and described. A table with numerical values of availability coefficients is presented, considering various types of modulation and topologies.