DEVELOPMENT OF THE CONCEPTUAL FRAMEWORK AND EXPERIMENTAL MODEL OF A ROBOTIC SENSOR NETWORK
Authors:   Taras Shevchenko National University of Kyiv, Dudnik Andriy , Fesenko Andriy ,   Taras Shevchenko National University of Kyiv
Published: February 2025

This section presents the results of the first stage of research aimed at developing the conceptual foundations and experimental model of a robotic sensor network for monitoring emergencies and demining demilitarized zones. The main attention is paid to the creation of new principles, models and methods of functioning of sensor networks that operate on the basis of secure wireless communication protocols. An approach to the synthesis of cryptographic algorithms and noise-resistant control protocols optimized for operation in electronic warfare conditions is proposed. The section considers the theoretical foundations of the system, develops an experimental model of the network, and analyzes its functioning under the influence of external destabilizing factors. The results of the study allow significantly increasing the efficiency and stability of robotic sensor networks in difficult operating conditions. The section will be useful for scientists, engineers, as well as specialists working in the fields of information technology, robotics, and national security.
The purpose of this research is Development of conceptual foundations, theoretical models and an experimental model of a robotic sensor network designed for emergency monitoring and demining of demilitarized zones, with an emphasis on the implementation of secure wireless communication protocols, optimization of cryptographic data protection and ensuring network resilience to destabilizing external factors.
The research methodology of the first stage is based on an interdisciplinary approach that combines elements of systems analysis, control theory, cryptography, and artificial intelligence. The main focus is on developing a conceptual model of a robotic sensor network capable of operating in conditions of destabilizing external influences, such as electronic warfare and complex landscape conditions. The first stage was the formulation of key requirements for the system, in particular its security, energy, and communication parameters. For this purpose, an analysis of existing methods and technologies, their limitations, and integration capabilities was conducted. Based on this, a theoretical framework was developed that includes mathematical models of the sensor network, data transmission algorithms, and methods for their cryptographic protection. The next stage was the modeling and optimization of processes in the sensor network using machine learning and fuzzy logic technologies. Particular attention was paid to the creation of a noise-resistant control protocol that ensures effective operation of the network even in difficult conditions. In addition, methods for testing statistical characteristics of data transmission protocols were developed, which allow assessing their efficiency and stability. The last step within this stage was the creation of an experimental sample of the sensor network. This sample was tested for compliance with the criteria for resistance to external influences, including radio-electronic countermeasures, which provided a practical verification of the developed models and algorithms. The results of the study became the basis for further improvement of the system and its adaptation to real operating conditions.
The scientific novelty of this section presents fundamentally new approaches to building robotic sensor networks focused on monitoring emergencies and demining in demilitarized zones. For the first time, the concept of using noise-resistant wireless communication protocols has been developed and substantiated, which provide high resistance to destabilizing external influences, such as electronic warfare. A new method of verifying the distributed knowledge base of the network has been proposed, based on the principle of the "wandering core", which allows to increase the reliability of the transmitted information. One of the key aspects of scientific novelty is the synthesis of artificial intelligence models for network control and decision-making in real time. The developed algorithms for adapting the system to changing conditions allow to ensure stable operation of the network even in the event of significant loss of nodes or disruption of communication channels. This significantly expands the possibilities of using such systems in difficult conditions, in particular in areas of active enemy countermeasures. New graph models have also been developed to describe the functioning of the sensor network, which provide parallel formal analysis of fuzzy situations. The use of these models allows obtaining a wide range of system stability characteristics, which makes it effective for monitoring and demining tasks under conditions of uncertainty. The results of the study create a new scientific platform for further improvement of wireless communication technologies, artificial intelligence and automated monitoring systems. This contributes not only to the development of theory, but also creates practical prerequisites for the use of such systems in the field of national security and defense.
Results. The conceptual foundations of a robotic sensor network that ensures functional stability in difficult operating conditions were developed within the section. The main requirements for the system were formulated, including its energy efficiency, security parameters, and the ability to reliably transmit data in an environment with a high level of radio-electronic interference. Mathematical models were developed to describe the functioning of the sensor network and a noise-resistant communication control protocol was proposed. Data transmission protocols were simulated and tested, which made it possible to assess their efficiency and stability in conditions of destabilizing external influences. Artificial intelligence algorithms were proposed, aimed at increasing the autonomy of the sensor network. The algorithms allow the system to adapt to changes in the external environment and maintain functionality even in the event of partial loss of nodes. Special attention is paid to methods for training the system to increase accuracy and speed of response. An experimental sample of a robotic sensor network was implemented. Tests were conducted to confirm the compliance of the developed models and protocols with the requirements of stability, functional reliability and security in conditions of electronic countermeasures. The system's resistance to various destabilizing factors, such as radio interference, landscape changes and loss of individual network components, was assessed. The proposed solutions demonstrate high reliability for use in emergency monitoring and demining tasks. The results obtained make a significant contribution to the development of modern sensor network technologies and their practical application in the fields of defense, security and robotics. They also create a basis for further improvement and implementation of the proposed solutions.