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Assessing the VANET's Local Information Storage Capability under Different Traffic Mobility

机译:评估不同流量移动下VANET的本地信息存储能力

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Wireless networking enabled vehicles can form vehicular ad hoc mesh networks (VMeshs). Using cooperative communication among VMeshs, a local transient information could be "retained" within a given geographic region for a certain period of time, without any infrastructure help. In this paper, we study this "storage capability" of VMeshs. We analyze the scenarios of highway traffic (both one-way and two-way highway free flow traffic) and vehicular traffic in a city environment. For highway traffic, we study different properties of the "VMesh storage", using a simulation tool that accurately models the freeway vehicular mobility. For city traffic, we first perform simulations based on real traffic trace of San Francisco Yellow Cabs. Then we compare the results with the scenario where a general Random Way Point (RWP) mobility model is used. Our results show that transmission range has high impact on the storage lifetime for one-way highway traffic, and the size of the region in which we want the information stored has high impact for two-way highway traffic. For city-wide traffic, the storage's lifetime generated using San Francisco Yellow Cab trace is shorter than that obtained using the RWP mobility model. This is due to the regular movement of the cabs as compared to the random vehicle movement in the RWP mobility model.
机译:具有无线联网功能的车辆可以形成车载自组织网状网络(VMesh)。使用VMesh之间的协作通信,本地瞬态信息可以在给定的地理区域内“保留”一定的时间,而无需任何基础架构的帮助。在本文中,我们研究了VMesh的这种“存储能力”。我们分析了城市环境中的高速公路交通(单向和双向高速公路自由流交通)和车辆交通的场景。对于高速公路交通,我们使用精确建模高速公路车辆流动性的仿真工具研究“ VMesh存储”的不同属性。对于城市交通,我们首先根据San Francisco Yellow Cabs的真实交通轨迹进行模拟。然后,我们将结果与使用通用随机路径点(RWP)流动性模型的场景进行比较。我们的结果表明,传输距离对单向公路交通的存储寿命有很大的影响,而我们希望存储信息的区域的大小对双向公路交通有很大的影响。对于城市范围的流量,使用旧金山黄色出租车追踪生成的存储寿命比使用RWP移动性模型获得的存储寿命短。这是由于与RWP机动性模型中的随机车辆移动相比,驾驶室的移动规律。

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