基于认知网络的无人机通信网络系统

Unmanned Aerial Vehicle Communication Network System Based on Cognitive Network

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。

The design and operation of Unmanned Aerial Vehicle （UAV）communication network are greatly influenced by man-made factors and have poor autonomy. To solve this problem, this paper proposes a cognitive network oriented design architecture for UAV system. Imitating from the vertebrates＇ nervous system and the human social organization mode,this paper discusses the design of functional and organizational architectures of UAV system based on cognitive network. It designs a cross-layer interactive node-level architecture for UAV communication system, establishes a hierarchical cognitive behavior model based on Observe-Orient-Decide-Act（OODA） loop, and obtains a cognitive layered multi-routing method for UAV systems. Simulation results demonstrate that the proposed method can decrease the variation of system throughput and the fluctuation time. It improves the reliability of the system and the degree of intelligent decision.