Semko O. Information technology of intelligent routing control in sensor networks of variable topology in the conditions of limitations and uncertainties

The thesis is devoted to the study of the actual scientific task of optimal control of data flow routing in sensor networks of variable topology, which are based on a service-oriented architecture, and operate under conditions of limitations and uncertainties due to the functioning of a distributed intelligent routing control system. The object of study is the process of optimal control of multidimensional information objects of variable topology in conditions of conflict, constraints and uncertainties, which are the processes of optimal control of the SN VT routing. The subject of the research is models and methods of synthesis and selection of strategies for optimal control of data flow (DF) sensor networks (SN) variable topology (VT) routing in the interaction of conflicting network nodes under conditions of limitations and uncertainties. The novelty of the work lies in the further development of theoretical and practical methods for the synthesis and selection of solutions using the methods of discrete dynamic optimization of the mathematical model in the set-theoretic approach, which allows us to obtain simpler procedures for synthesizing solutions and create distributed systems for intelligent control of DF routing in conflicting SN VT in conditions of limitations and uncertainties due to: - development, substantiation and research of the properties of the mathematical model and the method of ensuring the guaranteeability of service-oriented SN VT in the conditions of conflict of interaction of nodes, constraints and uncertainties; - development and formal definition of the task of synthesis and choice of the DF SN VT route as a problem of discrete dynamic optimization; - determination and justification of the price function, as an optimality criterion in the synthesis and selection of the DF route, in the form of a virtual distance between network nodes, taking into account limitations, uncertainties and conflicts of interaction between nodes, as well as the properties of processes inherent in their functioning; - developing a method and a heuristic algorithm for controlling the DF routing for a distributed intelligent control systems with a heterogeneous SN VT, as an NP-complete task of iterating discrete dynamic optimization when solving the conflict of interaction between network nodes under constraints and uncertainties.