Функціональна модель системи управління бездротовими сенсорними мережами військового призначення

Formulation of the problem in general. A distinctive feature of the development of the modern system of communication and automation of control of the Armed Forces of Ukraine in repelling armed aggression is the tendency to re-equip and modernize troops (forces) with the latest high-tech means of communication, including wireless systems. Such systems may include wireless sensor networks capable of monitoring, data collection and information transmission. However, the complexity, limited resources, different types of traffic, unreliability and limited resources, and the need to dynamically adjust to changing conditions require the creation of an effective management model with the maintenance of security at the required level. The aim of the article is to improve the functional model of the wireless sensor network management system to ensure optimal resource utilization, adaptability to changing operating conditions, high reliability and safety of operation. The improvement of this model is carried out by adding a security management subsystem to the network operational management system. Analysis of recent researches and publications. The scientific publications discuss the prospects for the development of tactical sensor networks, provide their classification and requirements, as well as a functional model of the sensor network management system. Taking into account the peculiarities of wireless networks, a self-organizing sensor network for monitoring environmental parameters is considered. It should be noted that the problem of using security systems in the above publications was not given due attention. Presenting the main material. The improved model provides for the structuring of the system into levels, in particular: the level of sensors, the level of data processing, and the level of information transmission, and consists of subsystems. Key components and processes such as energy management, load balancing, adaptive routing, and security are identified. The model supports flexibility in network configuration, which makes it possible to adapt to changes in the structure or operating conditions. The difference between this model and the existing ones, which determines its novelty, is the use of a new set of route search metrics. These metrics include: the type of traffic transmitted, the residual battery capacity of nodes, the energy required for transmission, and the limitations on radio channel capacity. In addition, the model uses advanced route selection rules, which reduces energy consumption and thereby increases the lifetime of the wireless sensor network. Elements of scientific novelty. The functional model of the operational network management system is improved by using the security management subsystem and is refined by the model of decision-making by the network management system by levels and functions. Practical significance of the article. The introduction of a functional model of the wireless sensor network management system will make it possible to create an adaptive distributed architecture for building wireless sensor networks with the possibility of network self-organization and increase the efficiency of the wireless sensor network as a whole by increasing the duration of the network operation, provided that the requirements for information exchange are met. Conclusion and the perspectives of future researches. The presented improved functional model of the network operational management system implements the principle of adaptation to the operating conditions and can provide the required quality of service when performing certain management functions and ensure the required level of security. The direction of further research should be the introduction of artificial intelligence and machine learning of wireless sensor networks, using sensors capable of self-learning and adaptation to changes in the environment and the development of models for predicting future events based on data obtained from sensor networks.