Calculation of Reliability of Sensors and Detectors in Intelligent System of Telecommunication Network Using Fuzzy Set Methods

The paper presents the calculation of the reliability of sensors and sensors in the intelligent telecommunication network system using fuzzy set methods. The relevance of using fuzzy set methods and fuzzy neural networks in the analysis and study of the main reliability parameters of Internet of Things sensors is shown. It has been shown that neural networks can effectively predict sensor failure, time to failure, or classify the state of a sensor, which increases the reliability of the entire system and allows for timely measures to be taken for its maintenance. Genetic algorithms provide a powerful tool for optimizing mathematical models, especially in problems with many variables and complex dependencies, such as calculating the reliability of sensors. This method allows for efficient search for optimal solutions in multidimensional spaces and can be used to predict failures, estimate time to failure, or other characteristics that affect the reliability of a system. Modeling the reliability parameters of sensors using genetic algorithms allows for efficient optimization of complex models that include many variables and nonlinear dependencies.