INTEGRATED NAVIGATION AND COMMUNICATION PROTOCOLS FOR AUTONOMOUS INTELLIGENT SYSTEMS: ARCHITECTURES, MODELS AND IMPLEMENTATION CHALLENGES IN DYNAMIC ENVIRONMENTS
DOI:
https://doi.org/10.32689/maup.it.2025.2.17Keywords:
autonomous systems, autonomous networks, distributed intelligence systems, navigation, communicationAbstract
The paper presents an approach to the development of Autonomous Intelligent Systems (AIS) capable of operating independently in dynamic environments without continuous operator intervention. Such systems consist of groups of intelligent agents united in a network with a common goal–to carry out complex missions.Purpose. To analyze the constraints of autonomous operation in terms of the communication and navigation capabilities of system elements; to formulate key requirements for the implementation of communication and navigation in autonomous intelligent groups; and to develop and evaluate the corresponding architecture and models capable of ensuring stable, efficient, and coordinated system performance during task execution.Methodology. The research methodology is based on a systems analysis of the functional properties of autonomous systems using models of information interaction to assess the effectiveness of communication and navigation processes. Logical architecture modeling and agent interaction protocols in a dynamic environment were applied to determine optimal control structures.Scientific novelty. Special attention is paid to the development of navigation and communication models, which serve as the main functional components ensuring autonomous mobility. The author outlines functional requirements for communication and navigation systems, including completeness, responsiveness, energy efficiency, consistency, and resilience. The paper analyzes communication topologies (centralized, decentralized, hierarchical, hybrid) and their impact on the efficiency of agent interaction.Conclusions. In the field of navigation, the focus is on integrating Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS) as a basis for increasing accuracy and robustness in real-world conditions. The article proposes a consensus-based navigation protocol that resolves discrepancies between agents through data exchange, ensuring coherence in decision-making. An architectural model of a protocol structure for autonomous mobility is proposed, integrating communication and navigation into logical layers with high adaptability to specific tasks. This approach promotes the creation of robust, scalable, and versatile autonomous systems suitable for use in various domains, from unmanned technologies to rescue operations.
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