A Methodology for Studying 802.11p VANET Broadcasting Performance With Practical Vehicle Distribution

A Methodology for Studying 802.11p VANET Broadcasting Performance With Practical Vehicle Distribution
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通过实际车辆分配研究 802.11p VANET 广播性能的方法

DOI:
10.1109/tvt.2014.2367037
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发表时间:
2014-10
影响因子:
6.8
通讯作者:
Xie Yu
Xie Yu
中科院分区:
计算机科学2区
文献类型:
--
作者:
Qiu Harry J. F.;Ho Ivan Wang-Hei;Tse Chi K.;Xie Yu

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在车载自组织网络(VANET)中,通信协议的性能受到车辆密度动态的严重影响。然而,以往关于VANET性能建模的工作大多对车辆分布关注较少,或简单假设车辆均匀分布。很明显,由于道路不同部分的交通信号和限速,以及车辆相互作用在繁忙的街道上很重要,车辆沿路段分布不均匀。鉴于这方面的不足,在本文中,我们提出了一种新颖的方法来研究城市环境中实际车辆分布的802.11p vanet的广播性能。首先,我们采用了经验验证的随机交通模型,该模型考虑了城市环境(如交通信号灯和车辆相互作用)对汽车分布的影响,并生成了实际的车辆密度曲线。然后开发了相应的802.11p协议和性能模型。当与交通模型相结合时,它们可以基于道路上每个位置的汽车密度知识预测802.11p vanet的广播效率、延迟和吞吐量性能。为了验证所建立的数学模型在考虑车辆相互作用的情况下的准确性,进行了大量的仿真。总的来说,我们的结果证明了所提出的方法在实际信号化道路网络中建模协议性能的适用性,并为未来VANETs通信协议和网络功能的设计和开发提供了见解。
In a vehicular ad hoc network (VANET), the performance of the communication protocol is heavily influenced by the vehicular density dynamics. However, most of the previous works on VANET performance modeling paid little attention to vehicle distribution or simply assumed homogeneous car distribution. It is obvious that vehicles are distributed nonhomogeneously along a road segment due to traffic signals and speed limits at different portions of the road, as well as vehicle interactions that are significant on busy streets. In light of the inadequacy, in this paper, we present an original methodology to study the broadcasting performance of 802.11p VANETs with practical vehicle distribution in urban environments. First, we adopt the empirically verified stochastic traffic models, which incorporate the effect of urban settings (such as traffic lights and vehicle interactions) on car distribution and generate practical vehicular density profiles. Corresponding 802.11p protocol and performance models are then developed. When coupled with the traffic models, they can predict broadcasting efficiency, delay, and throughput performances of 802.11p VANETs based on the knowledge of car density at each location on the road. Extensive simulation is conducted to verify the accuracy of the developed mathematical models with the consideration of vehicle interaction. In general, our results demonstrate the applicability of the proposed methodology on modeling protocol performance in practical signalized road networks and shed insights into the design and development of future communication protocols and networking functions for VANETs.
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