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Impact of Traffic Influxes: Revealing Exponential Intercontact Time in Urban VANETs

机译:交通涌入的影响:揭示城市VANET中的指数互通时间

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摘要

Intercontact time between moving vehicles is one of the key metrics in vehicular ad hoc networks (VANETs) and central to forwarding algorithms and the end-to-end delay. Due to prohibitive costs, little work has conducted experimental study on intercontact time in urban vehicular environments. In this paper, we carry out an extensive experiment involving thousands of operational taxies in Shanghai city. Studying the taxi trace data on the frequency and duration of transfer opportunities between taxies, we observe that the tail distribution of the intercontact time, that is, the time gap separating two contacts of the same pair of taxies, exhibits an exponential decay, over a large range of timescale. This observation is in sharp contrast to recent empirical data studies based on human mobility, in which the distribution of the intercontact time obeys a power law. By analyzing a simplified mobility model that captures the effect of hot areas in the city, we rigorously prove that common traffic influxes, where large volume of traffic converges, play a major role in generating the exponential tail of the intercontact time. Our results thus provide fundamental guidelines on design of new vehicular mobility models in urban scenarios, new data forwarding protocols and their performance analysis.
机译:移动车辆之间的相互接触时间是车辆自组织网络(VANET)的关键指标之一,也是转发算法和端到端延迟的关键。由于成本高昂,很少有工作对城市车辆环境中的接触时间进行实验研究。在本文中,我们进行了广泛的实验,涉及上海市数千辆出租车。研究滑行之间的转移机会的频率和持续时间的滑行轨迹数据,我们观察到相互接触时间的尾部分布,即,将同一对滑行的两个触点分开的时间间隔,在整个过程中呈指数衰减。时间范围很大。这一观察结果与最近基于人类流动性的经验数据研究形成鲜明对比,在该研究中,接触时间的分布服从幂定律。通过分析捕获城市热点地区影响的简化交通模型,我们严格证明了大量交通汇聚的普通交通涌入在产生交互时间的指数尾部中起着重要作用。因此,我们的结果为在城市场景中设计新的车辆出行模型,新的数据转发协议及其性能分析提供了基本指导。

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