面向高速场景的基于路径连通概率路由协议

发布时间：2018-06-03 05:38

本文选题：连通概率 + 路由　；参考：《传感技术学报》2017年08期

【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。
[Abstract]:Efficient data transmission is the key to improve the performance of VANETs(Vehicular Ad Hoc Networks. The dynamic topology poses a challenge to the data transmission of VANETs. Therefore, a routing algorithm CPR(Connected Probability-Based routing based on path connectivity probability is proposed. First, according to the freeway scene, a one-dimensional vehicle movement model is established, then the link connectivity probability is calculated. Finally, the path connectivity probability is calculated, and the path transmission data with the highest connectivity probability is selected. Simulation results show that the proposed CPB algorithm can effectively improve the packet transfer rate, end-to-end transmission delay and throughput performance.
【作者单位】：黄淮学院信息工程学院;
【基金】：河南省科技厅项目(162102110119) 国家自然科学基金项目(51406140)
【分类号】：TN929.5;U495

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