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针对无人机群组网通信系统受人为影响较大、自主性较差的问题,提出一种基于认知网络的无人机通信网络架构设计方案。借鉴脊椎动物神经系统和人类社会组织模式,设计基于认知网络的无人机群组网通信系统的功能架构和组织架构。给出跨层交互式的无人机通信系统节点级架构,基于观察-确认-决策-行动反馈环建立无人机群的层次化认知网络行为模型,得到具有认知能力的层次化多路由方法。仿真结果表明,在更换路由表项时,该方法能减小吞吐量的抖动,缩短起伏时间,提高系统的可靠性和智能化决策的程度。
Aiming at the problem that UAV network communication system is greatly influenced by man-made and poor autonomy, this paper proposes a design scheme of UAV communication network architecture based on cognitive network. Drawing on the vertebrate nervous system and human social organization pattern, the functional architecture and organizational structure of UAV network communication system based on cognitive network are designed. The cross-layer interactive UAV communication system node-level architecture is given. Based on the observation-confirmation-decision-action feedback loop, a hierarchical cognitive network behavior model of UAV cluster is established, and a hierarchical multi-routing method with cognitive capability is obtained . The simulation results show that this method can reduce the throughput jitter, shorten the rise and fall time, improve the reliability of the system and the degree of intelligent decision-making when changing routing entries.