面向高速场景的基于路径连通概率路由协议

摘要

有效地传输数据是提高车联网VANETs(Vehicular Ad Hoc Networks,)应用性能的关键.而动态的拓扑结构,给VANETs的数据传输提出了挑战.为此,提出基于路径连通概率的车联网路由算法CPR(Connected Probability-Based Routing).首先,依据高速公路场景,建立一维车辆移动模型,然后再计算链路的连通概率,最后,计算路径的连通概率,并选择连通概率最高的路径传输数据.仿真结果表明,提出的CPB算法能够有效地提高数据包传递率、端到端传输时延以及吞吐量性能.%To transmit effectively data is key issue of improving the application performance of Vehicular ad hoc networks(VANETs).However,dynamic topology is great challenge for transmitting data.Therefore,Connected Probability-Based routing(CPR)was proposed in this paper.Firstly,according to highway scenario,the one-dimension vehicle mobile model was established.Secondly,the connected probability of link was estimated.Finally,the connected probability of path was computed,and the path with maximum connected probability was selected to transmit data.Simulation results show that the proposed CPB algorithm has better performance in terms of packet delivery ratio,end-to-end delay and throughput.