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Evaluation of Message Dissemination Techniques in Vehicular Ad Hoc Networks using Node Movement in Real Map

机译:利用实地图中的节点移动评估车载自组织网络中的消息传播技术

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In this paper, we have evaluated the performance of flooding and probabilistic flooding broadcast methods in a VANET using real city map. A comparative analysis between the performance of these methods with varying traffic density and nodes speed has been conducted. Here, we have considered real city maps extracted from US census TIGER database. Node movements are generated using Intelligent Driving Model for lane Changing (IDM_LC) through VanetMobiSim mobility generator. A different probability for message dissemination is considered for the probabilistic broadcast method to investigate an appropriate probability value that may give best results. Different node densities, Sparse, Intermediate and Dense are considered. The results obtained show that in dense traffic scenario probabilistic flooding method achieves maximum packet delivery ratio for a specific value of p (i.e. 0.1). In sparsely populated network, the PDR is low as compared to other traffic conditions. In a sparse traffic density both the method perform better at high node mobility. But in intermediate and dense traffic scenario performance of both the methods is better in low node mobility.
机译:在本文中,我们使用真实的城市地图评估了VANET中洪水和概率洪水广播方法的性能。在流量密度和节点速度不同的情况下,对这些方法的性能进行了比较分析。在这里,我们考虑了从美国人口普查TIGER数据库中提取的真实城市地图。节点移动是通过VanetMobiSim移动性生成器使用车道变更智能驾驶模型(IDM_LC)生成的。对于概率广播方法,可以考虑使用不同的消息传播概率来研究可以给出最佳结果的适当概率值。考虑了不同的节点密度,稀疏,中间和密集。所获得的结果表明,在密集通信量的情况下,概率泛洪方法对于特定的p值(即0.1)实现了最大的数据包传输率。在人口稀少的网络中,PDR与其他流量条件相比较低。在稀疏的通信量密度中,这两种方法在高节点移动性下都表现更好。但是在中等流量和密集流量的情况下,这两种方法的性能在低节点移动性方面都更好。

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