adaptive data collection process

The problem of organizing data collection processes in autonomous distributed systems has been considered, in particular, in autonomous mobile cyber-physical systems and autonomous distributed environmental monitoring systems. A model of decentralized control of adaptive data collection processes based on the principle of equilibrium has been proposed. Using this model, the problem of coordinating joint collective actions of adaptive data collection processes is studied from the point of view of finding an effective scheme for their complementarity in the absence of a control center.

The way of functional coordination of methods of organization adaptive data collection processes and methods of spatial self-organization of mobile agents by parallel execution of the corresponding data collection processes and the process of motion control of a mobile agent using the proposed protocol of their interaction and the algorithm of parallel execution planning is proposed. The method allows to speed up the calculations in the decision block of the mobile agent by an average of 40.6 %.

The model of decentralized control of adaptive data collection processes has been developed based on the equilibrium concept, which is used to study the problem of coordinating joint collective actions from the point of view of finding an effective scheme for complementing the individual actions of data collection processes in the absence of a control center.