As the demands for immediate and effective responses increase in both the civilian and military domains, 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 lacks sufficient research. Hence, in this article, we propose the cooperative cognitive dynamic system (CCDS) to optimize the management of UAV swarms. CCDS leverages a hierarchical and cooperative control structure that enables real-time data processing and decision. Accordingly, CCDS optimizes UAV swarm management via dynamic reconfigurability and adaptive intelligent optimization. In addition, CCDS can be integrated with a biomimetic mechanism to efficiently allocate tasks for UAV swarms. Further, the distributed coordination of CCDS ensures reliable and resilient control, thus enhancing adaptability and robustness. Finally, the potential challenges and future directions are analyzed to provide insights into managing UAV swarms in dynamic heterogeneous networking.

中文翻译：

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无人机群中的协作认知动态系统：可重构机制和框架


随着民用和军用领域对立即有效响应的需求不断增加，无人机群成为有效的解决方案，多个无人机可以协同工作以实现特定目标。然而，如何管理如此复杂的系统以确保实时适应性还缺乏足够的研究。因此，在本文中，我们提出了协作认知动态系统（CCDS）来优化无人机群的管理。 CCDS 利用分层协作控制结构来实现实时数据处理和决策。因此，CCDS 通过动态可重构性和自适应智能优化来优化无人机群管理。此外，CCDS还可以与仿生机制相结合，为无人机群高效分配任务。此外，CCDS的分布式协调确保了可靠和弹性的控制，从而增强了适应性和鲁棒性。最后，分析了潜在挑战和未来方向，为动态异构网络中的无人机群管理提供见解。