Optimization of cyber-physical system parameters based on intelligent iot sensors data
Вантажиться...
Дата
2024
Автори
Назва журналу
Номер ISSN
Назва тому
Видавець
Хмельницький національний університет
Анотація
The optimization of parameters of cyber-physical systems (CPS) is studied taking into account various calculations,
physical processes, Internet of Things (IoT).
The use of intelligent IoT sensors is crucial for collecting real-time data, which is necessary for enhancing the efficiency,
reliability, and performance of CPS.
Various methods of CPS parameters optimization are analyzed and categorized into model-based approaches, data-driven
approaches, and hybrid approaches. The model-based approaches rely on mathematical models to describe CPS behavior and use optimization algorithms like linear programming and evolutionary algorithms to predict system responses and optimize parameters. But, the limitations of model-based approaches are related to complex systems with uncertain or dynamic behavior. The data-driven approaches are more suitable for complex cyber-physical systems. These approaches utilize machine learning and data analytics techniques to extract patterns from sensor data, which are then used to adjust system parameters. The hybrid approaches combine elements of both model-based and data-driven methods.
The method of cyber-physical system parameters optimization based on intelligent IoT sensors data processing is
developed with using of distributed neural network. The optimization problem is formulated with constraints for the system
parameters. The neural network mathematical model and learning algorithm are proposed.
The performed research shows the importance of developing optimization methods for CPS parameters based on
intelligent IoT sensor data, considering the evolving nature of IoT technology. The integrating intelligent sensors into CPS offers new opportunities for optimizing system performance but also presents challenges in data management and security that should be addressed in future.
Опис
Ключові слова
optimization, cyberphysical systems, internet of things, sensors
Бібліографічний опис
Zasornova I. Optimization of cyber-physical system parameters based on intelligent iot sensors data / I. Zasornova, M. Fedula, A. Rudyi // Computer Systems and Information Technologies. – 2024. – No 2. – P. 53-58.