Improving data collection and processing efficiency by using hierarchies of intelligent agents in multi-Agent systems

Abstract

The paper considers the challenge of improving data collection and processing efficiency by using various information and measurement systems. A structural scheme of a hierarchical multi-Agent control system has been developed, incorporating horizontal (single-level) and vertical (multi-level) connections between intelligent agents. An algorithm is proposed for controlling a heterogeneous group of unmanned aerial vehicles participating in search and rescue operations in an emergency zone based on the hierarchical interaction of intelligent agents, cloning and coalition formation. KPI values have been calculated and the effectiveness of the proposed solution have been proved.