LOGIC-SEMANTIC MODEL FOR MANAGING DATA STREAM ROUTING IN SENSORY NETWORKS

Abstract

The problems of synthesis and choice of solutions for controlling the routing of data streams in conflicting sensor networks of variable topology in the conditions of limitations and uncertainties are identified. The approach to the creation of a distributed intelligent routing control system in self-organizing sensor networks based on the use of multi-level set-theoretic and mathematical models that determine the essence of the system of intelligent control of an object is considered. As a basic model for describing the route of data transmission in a self-organizing sensor network, a semiotic model is proposed based on a formal model of information interaction processes of network elements. In contrast to the formal models of using the semiotic model, in the process of situational management it is possible to change all the elements of the formal model and form models reflecting the current state of the network. When creating distributed self-organizing control systems for streaming data flows in sensor networks of variational topology, the use of technologies using logical-linguistic (semantic) modeling methods is suggested, which allows qualitatively describing and studying weakly structured processes, phenomena and systems. The solution of the synthesis problem and the choice of solutions for synthesis and decision-making on the strategy of managing the routing of data flows in sensor networks of the variational topology is proposed to be considered on the basis of the model of interaction of the network nodes as a solution to the problem of discrete dynamic optimization. The synthesis and selection of decisions on the strategy of controlling the routing and choosing the route for transmitting the data stream in the network is carried out in accordance with the value of the price function for each network element that is a Hegelian object, respectively, the network metrics. Regardless of the selected network metric, the purpose of controlling the SN routing is to determine the optimal path on the graph, which reflects the topology of the sensor network. When solving the problem of discrete dynamic optimization, it is proposed as a limited resource, determines the price function, apply parameters that determine the bandwidth of communication channels in the interaction of network nodes. Communication channels determine the characteristics of the edges (arcs) of the graph-model of the sensor network of the variable topology, and the nodes are elements of a distributed system of intelligent control of the routing of data flows in the network.