Assessment of Information Interaction in a Heterogeneous Network

The feasibility of using an original indicator of information interaction stability in heterogeneous monitoring systems is justified, taking into account the impact of destructive factors as a stochastic process and thus ensuring accurate and rapid selection of optimal monitoring system characteristics. The formalization of the process of stochastic destructive factors affecting the monitoring system parameter control system is presented as a process of changing the probability density of destructive factors. The form of the indicator of the stability of the information interaction process in the monitoring system is presented based on the analysis of the dispersion of related values using a modified method of fuzzy set theory, which allows the necessary selection of information interaction options to be formed.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/synchroinfo65403.2025.11079346
Primary Topic
Advanced Research in Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessment of Information Interaction in a Heterogeneous Network

A. V. Timoshenko, R. A. Kochkarov, V. A. Shevtsov, A. S. Zakharov
Advanced Research in Systems and Signal Processing
article

Assessment of Information Interaction in a Heterogeneous Network

A. V. Timoshenko, R. A. Kochkarov, V. A. Shevtsov, A. S. Zakharov
article en

Abstract

The feasibility of using an original indicator of information interaction stability in heterogeneous monitoring systems is justified, taking into account the impact of destructive factors as a stochastic process and thus ensuring accurate and rapid selection of optimal monitoring system characteristics. The formalization of the process of stochastic destructive factors affecting the monitoring system parameter control system is presented as a process of changing the probability density of destructive factors. The form of the indicator of the stability of the information interaction process in the monitoring system is presented based on the analysis of the dispersion of related values using a modified method of fuzzy set theory, which allows the necessary selection of information interaction options to be formed.

Financial University (RU), Moscow Aviation Institute (RU)
Russian Science Foundation
Openalex Percentile: Top 79%
Advanced Research in Systems and Signal Processing
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