基于多参数加权的IVC网络系统移动自适应分群算法研究

由于IVC车辆间通信系统中车辆的移动性,其无线通信网络的拓扑结构是动态变化的.若每个车辆节点各自维护网络路由信息会导致大量的控制信息而占用带宽资源,因此需要将IVC网络内的车辆节点进行分群处理.文中提出了一种针对IVC网络系统的基于多参数融合加权的改进移动分群算法,该算法将节点的位置及速度等运行状态信息作为决定分群的因素,并考虑了车辆节点的移动特性,因此保证了网络分群的稳定性和移动适应性.

Research of the Clustering Algorithm With Multiple Parameters Weighing in Inter-vehicle Communication System

The topology of inter-vehicle communication system networks is dynamically changed because that the vehicle nodes are mobile.If each vehicle maintains route information itself,this will result in an amount of control packets transferred in limited bandwidth.The vehicle nodes in IVC can be clustered by the algorithm with multiple parameters weighing,which take the position and speed of vehicles and mobility into account to ensure the stability and mobile adaptability of networks clustering process.