Cooperative Cognitive Dynamic System in UAV Swarms: Reconfigurable Mechanism and Framework
This addresses the need for effective UAV swarm management in civilian and military domains, but it appears incremental as it builds on existing hierarchical and cooperative control structures.
The paper tackles the problem of managing complex UAV swarms for real-time adaptability by proposing a cooperative cognitive dynamic system (CCDS), which optimizes management through dynamic reconfigurability and adaptive intelligent optimization, enhancing adaptability and robustness.
As the demands for immediate and effective responses increase in both civilian and military domains, the unmanned aerial vehicle (UAV) swarms emerge as effective solutions, in which multiple cooperative UAVs can work together to achieve specific goals. However, how to manage such complex systems to ensure real-time adaptability lack sufficient researches. Hence, in this paper, we propose the cooperative cognitive dynamic system (CCDS), to optimize the management for UAV swarms. CCDS leverages a hierarchical and cooperative control structure that enables real-time data processing and decision. Accordingly, CCDS optimizes the UAV swarm management via dynamic reconfigurability and adaptive intelligent optimization. In addition, CCDS can be integrated with the biomimetic mechanism to efficiently allocate tasks for UAV swarms. Further, the distributed coordination of CCDS ensures reliable and resilient control, thus enhancing the adaptability and robustness. Finally, the potential challenges and future directions are analyzed, to provide insights into managing UAV swarms in dynamic heterogeneous networking.