Abstract

The subject of the study is the methods of intellectualization of automated systems and complexesin the Armed Forces of the Russian Federation based on the use of knowledge-based models and technologies,as well as reactive wireless sensor networks (RWSN), which have a great prospect of application,especially when conducting local special operations by mobile tactical groups. The relevance ofthe work is due to the fact that the dynamics of a modern clash involves the concentration of all types ofinformation when making decisions that are adequate to the combat situation, which makes it possibleto implement a new approach to the conduct of hostilities based on the integration of systems of all levelsand types of troops. The form of integration is the tactical group. The implementation of the approachrequires the construction of a knowledge cycle when making decisions, including the stages ofperception, representation, awareness and their replenishment based on new architectures for the constructionand use of information technologies. The aim of the work is to study the possibility of buildingan information system for providing data for one of the key stages - the stage of acquiring knowledgefrom distributed sources when using responsive sensor networks as the primary element of the system.Main results. Studies have shown that the most effective solution is based on the use of SCADA tools andsensor networks through their integration, as well as hybridization with expert knowledge. The architectureof the tactical group information system is proposed, which provides situational awareness on theentire tactical spectrum of combat operations and decision-making under severe time constraints. Sucha system can be considered as one of the main key factors for creating superiority over the enemy. Anoverview of possible applications of RWSN in military areas is given. Their high efficiency in performingcombat missions is shown. Practical significance. The expediency of applying the results obtained inthe design of RWSN is substantiated.

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