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Information × Registration Number 0225U002790, (0122U000905) , R & D reports Title Develop and implement methods of semi-natural modeling using wireless sensor networks and the Internet of Things for embedded systems popup.stage_title Розробити та впровадити методи напівнатурного моделювання з використанням бездротових сенсорних мереж й Інернету речей для вбудованих систем Head Tymashov Oleksandr О., к.т.н. Registration Date 04-04-2025 Organization V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine popup.description1 Development of methods using wireless sensor networks and the Internet of Things, which reduce test time and improve the quality of tests in the so-called Cyber-Physical System (CPS) semi-natural simulation for embedded systems. popup.description2 With the development of embedded systems and their integration into modern technological processes, hardware-in-the-loop (HIL) simulation is becoming increasingly important, allowing for testing, analysis, and optimization of technical solutions before their actual implementation. The methods proposed in this study are aimed at improving hardware and software solutions for HIL simulation, thereby enhancing the reliability of embedded systems across various application domains. The objective of this research is to develop architectural and technological solutions for effective HIL simulation of embedded systems based on wireless sensor networks and the Internet of Things (IoT). The obtained results significantly improve the efficiency of HIL simulation of embedded systems using wireless sensor networks and IoT, providing new opportunities to enhance the accuracy, efficiency, and security of such systems. A new hardware architecture has been developed, incorporating sensor nodes optimized for efficient data collection. New approaches to convolutional code decoding in control systems have been proposed. The Viterbi algorithm has been implemented for high-speed signal decoding, while the BCJR algorithm has been introduced to improve data transmission accuracy under complex conditions. The results of this research can be utilized by institutes of the National Academy of Sciences of Ukraine, industry enterprises, and organizations in the development and implementation of automated systems for comprehensive test stands and validation processes in the creation of complex objects. Additionally, they can be applied in higher educational institutions for lectures and training in the fields of "Computing Technology," "Embedded Systems," and "Corporate Systems," as well as at the Faculty of Information Technology and Cybernetics of Taras Shevchenko National University of Kyiv. Product Description popup.authors Yelisieieva Olena V. Yeresko Vitalii V. Vyshynska Oleksandra V. Vyshynskyi Vitalii A. Kononenko Oleksandra Yu. Kurzantseva Larysa I. Luzan Andrii Yu. Perehontsev Oleksandr S. Reznychenko Lina V. Savaskevych Halyna P. Samoliuk Tamara A. Slipets Alla V. Slovachevska Yadzia A. Sosnenko Kateryna P. Tupalo Yaroslav O. Yakovliev Yurii S. popup.nrat_date 2025-04-04 Close