基于manet的车际网络中移动性和群组建模

Juan-Carlos Cano, C. Calafate, P. Manzoni, C. Toh
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引用次数: 6

摘要

本文对涉及群体移动性的移动自组网行为进行了评价。我们专注于群体移动,因为道路车辆倾向于形成群体或车队,其行为取决于附近车辆的行为。我们提出了四种不同的群体迁移模型,并提出了一个称为grcmob的迁移模式生成器,我们将其设计为与ns-2模拟器一起使用。我们在使用TCP和UDP数据流量的多种场景下评估车载自组织网络的性能。我们表明,组的数量比节点的数量更重要,面积大小的影响几乎可以忽略不计。我们还发现,集团内部和集团内部的混合沟通对绩效的影响最大。最后,我们表明,组的存在迫使网络拓扑更加稀疏,因此网络分区和节点断开的概率增加,影响性能,特别是当组间流量增加时
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of mobility and groups in inter-vehicular MANET-based networks
This paper evaluates the behavior of mobile ad hoc networks when group mobility is involved. We concentrate on group mobility because road vehicles tend to form groups or fleets whose behavior depends on the behavior of the close-by vehicles. We propose four different group mobility models and present a mobility pattern generator, called grcmob that we designed to be used with the ns-2 simulator. We evaluate the performance of vehicular ad hoc networks under a wide number of scenarios using both TCP and UDP data traffic. We show that the number of groups is more important than the number of nodes and that the impact of area size is almost negligible. We also reveal that the mixture of inter- and intra-group communications has the strongest impact on performance. Finally, we show that the presence of groups forces the network topology to be more sparse and therefore the probability of network partitions and node disconnections grows, affecting performance especially as inter-group traffic increases
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