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.

本文提出了合作认知动态系统 (CCDS)，通过动态重配置和自适应智能优化，优化了无人机群体的管理。CCDS 可以与生物启发机制结合，以高效地分配无人机群体的任务。CCDS 的分布式协调确保可靠和韧性的控制，从而增强了适应性和稳健性。最后，分析了潜在的挑战和未来方向，以便在动态异构网络中管理无人机群体。