一种多属性自适应MA-GPSR高动态无人机路由的研究

Research on multi-attribute adaptive MA-GPSR high dynamic UAV routing

针对无人机网络拓扑高动态变化、网络节点随时入网与脱网等引起的网络链路不稳定、通信中断等问题,在GPSR基础上提出一种多属性自适应MA-GPSR(Multiple Adaptation GPSR)高动态无人机路由方案,该方案不仅通过GPS感知定位,并结合三维环境下无人机实际运动角度、密度、链路稳定性等因素进行路由设计及仿真,仿真结果表明,同等条件下该算法比GPSR有更低的路由和端到端延迟,更高的包交付率,不仅改善无人机网络通信质量,而且有效规避路由空洞,降低网络拥堵。

Due to the high dynamic change of UAV network topology,network nodes are always in and out of the network,which easily cause network link instability,communication interruption and so on.A multi-attribute adaptive MA-GPSR(Multiple Adaptation GPSR)High Dynamic UAV routing scheme is proposed on the basis of GPSR.The routing design not only uses GPS to fix position,but also designs and simulates based on the actual motion angle,density and link stability of UAV in 3D environment,the simulation results show that the proposed algorithm has lower routing,end-to-end delay and higher packet delivery rate than GPSR under the same condition.It can not only improve the communication quality of UAV network,but also avoid routing holes and reduce network congestion.