摘要
本文针对无人机自组网内部成员的运动特性,提出一种适用于无人机平滑飞行环境的移动预测算法;针对节点的稀疏性,提出了一种适合用于无人机自组网的邻节点筛选算法。鉴于GPSR协议周期性信标交换算法在无人机自组网中存在的不足,重新定义信标,结合邻居列表维护机制及本预测算法对其进行改进,以使改进的路由协议(命名为GPSR-for Sparsity UAV Ad Hoc network based on Neighbors′number and Mobility Predication,以下简称GPSR-NMP)适用于无人机自组网环境。NS2的仿真结果表明,GPSR-NMP协议在无人机自组网中具有良好的适用性。
For the high mobility of the UAV, this paper present a location prediction algorithm that is compliant for it. For the sparsity of the UAV Ad Hoc network,the paper present a neighbor node selection algorithm for it. According to the deficiency of GPSR periodic beacon exchange algorithm in UAV Ad Hoc network,redefinding beacon and combining neighbor list maintenance mechanism with the prediction algorithm,the paper make the improved protocol named GPSR-NMP apply to UAV Ad Hoc network.NS2 simulation results show that GPSR-NMP has better applicability in the UAV Ad Hoc network than GPSR.
出处
《软件》
2017年第9期205-210,共6页
Software