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Performance evaluation Gauss-Markov mobility model in vehicular ad-hoc network with spearman correlation coefficient

机译:斯普尔曼相关系数的车辆临时网络绩效评估高斯 - 马尔可夫移动模型

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Vehicular ad-hoc network (VANETs) developed based on mobile ad hoc networks (MANETs), which is expected to provide communication between the vehicles and can be used for safety and entertainment applications for drivers and passengers. VANET have characteristics somewhat different from the MANET, the VANET mobile node moves faster, the number of nodes is more, topology changes very dynamically. Previous research shows that the model of mobility affecting network performance. An example of mobility model that is used to illustrate the movement of the mobile node is Gauss-Markov mobility model, which is used to illustrate changes of acceleration, velocity, and location, as well as its direction at any time. The contribution of this paper is the evaluation of the performance of Gauss-Markov mobility model on VANET, by evaluating various network performance metrics, particularly, packet delivery ratio, throughput, and delay use simulation software ns-3. This simulation was performed with the number of nodes and randomness index (a) that varies. From simulation results, there is a strong correlation between the decline in the value of Packet delivery ratio (PDR) and throughput with the addition number of MNs and also between the increase of delay and the addition number of MNs. In Gauss-Markov mobility model, the different value of alpha has no impact on PDR, Throughput, and delay.
机译:基于移动临时网络(MANET)开发的车辆ad-hoc网络(VANET)预计将在车辆之间提供沟通,可用于驱动程序和乘客的安全和娱乐应用。 Vanet具有稍微不同的特性与疯子不同,Vanet Mobile节点移动得更快,节点的数量更多,拓扑变化非常动态。以前的研究表明,影响网络性能的移动性模型。用于说明移动节点的移动的移动性模型的示例是高斯 - 马尔可夫移动性模型,其用于说明随时随地的加速度,速度和位置的变化,以及其方向。本文的贡献是评估通过评估各种网络性能指标,特别是分组传递比率,吞吐量和延迟使用仿真软件NS-3来评估VACUS-MALLOV移动模型对VANET的性能。使用变化的节点数量和随机性索引(a)的数量来执行此模拟。从仿真结果,分组传递比率(PDR)和吞吐量的下降与带有MN的添加数量的吞吐量之间的良好相关性,以及在延迟的增加和MN的增加数量之间。在高斯 - 马尔可夫移动性模型中,alpha的不同价值对PDR,吞吐量和延迟没有影响。

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