Моделювання та аналіз станів об’єктів і суб’єктів моніторингу засобами захищених сенсорних мереж та мереж IoT з суперкомп’ютером: Fìz.-mat. model. ìnf. tehnol. 2021, 33:191-195

• Datum: 2021
• 1. Verfasser: Shevchuk, Bohdan
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: Інститут прикладних проблем механіки і математики ім. Я. С. Підстригача НАН України 2021
• Schlagworte: розподілене моделювання станів об’єктів і суб’єктів; логіко-статистичні інформаційні моделі станів об’єктів; тривалий моніторинг; сенсорні мережі; об’єктні системи; мережі Інтернету речей; алгоритми аналізу та визначення станів об’єктів тривалого моніторингу
• Online Zugang: https://www.fmmit.lviv.ua/index.php/fmmit/article/view/227
• Назва журналу: Physico-mathematical modeling and informational technologies

The paper proposes an information technology for evidence-based monitoring of the states of remote and mobile objects and subjects. The proposed method for the effective implementation of long-term monitoring of a large number of objects based on modeling information states of objects by means of aperture or zone control of changes in selected indicators and calculated signal characteristics. Taking into account the minimization of computations with performance-limited processor facilities of the object systems of secure wireless monitoring networks at the places of introduction of monitoring signals, it is proposed to form logical and statistical information models of the behavior of objects that correspond to the current functional and operating states of objects of long-term monitoring. To identify the most informative signals and characteristics of the states of objects, it is proposed to calculate and analyze the relative and normalized indicators and characteristics of signals. Information technology is focused on long-term monitoring of objects and subjects in various spheres of human activity. References Shevchuk, B. M. (2021). Methods and algorithms for improving the information efficiency of wireless monitoring networks. Kyiv: Naukova Dumka. (in Ukrainian). Shevchuk, B .M., Zadiraka, V. K., Fryer, S. V, Luts, V. K. (2013). Prompt recognition of fragments and complexes of signals and selection of video data objects by means of object systems of wireless networks. Shtuchnyy intelekt, 3, 275-283. Shevchuk, B. M. (2001). About indicators of signals and their calculation for operative definition of information states of objects of research and management. Kompʺyuterna matematyka. Optymizatsiya obchyslenʹ. K .: V. M. Glushkov Institute of Cybernetics NAS of Ukraine, 1, 397-406.