Process control algorithms in responsive sensory networks in object protection problems

Localization, classification and tracking of objects intruding into the protected zone of especially important objects form the basis of their protection system. The purpose of the article is to study ways to improve the efficiency of the system by using distributed sensor networks as a part of cyber-physical systems. It is shown that achieving this goal involves organizing the interaction of tracking algorithms with traditional initialization/routing algorithms in sensor networks. The paper considers the problem of joint data processing by nodes in distributed sensor networks. The subject of consideration is actual and complex methods for tracking a multitude of moving objects in a protected area, their implementation by means of sensor networks involves solving a number of problems including the two main ones that should be singled out. The first problem is the development of effective methods of information exchange between local nodes in the invasion zone. The second problem is the organization of joint processing of signals by a group of nodes based on the collected information about the environmental state in their area of responsibility as a result of the occurrence of events. It is shown that the main tracking procedure stages consist of target detection, their classification, location estimates and target movement trajectory prediction. A model example of the procedure im-plementation is the task of detecting, localizing and tracking the penetration of one object into the protected area. The paper considers the approaches underlying these algorithms, as well as the main as-pects of their implementation. The proposed solutions take into account the limitations associated with the capabilities of local nodes, the network as a whole and routing. The source of data for the proposed algorithms are signals from sound, seismic, thermal, etc. sensors, in which the signal power has a pronounced maximum de-pending on the distance from the target to the network node. The obtained results are applied to the problem of tracking a plurality of objects, which involves as-sessing the applicability of identification and classification methods under conditions where there is an overlap of perceived signals by sensors by different objects. There is also a discussion of the algorithms for solving such problems.