A stochastic traffic modeling approach for 802.11p VANET broadcasting performance evaluation
A stochastic traffic modeling approach for 802.11p VANET broadcasting performance evaluation
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DOI：
10.1109/pimrc.2012.6362506
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发表时间：
2012-11
期刊：
影响因子：
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通讯作者：
Harry J. F. Qiu;I. W. Ho;Chi K. Tse
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文献类型：
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作者：
Harry J. F. Qiu;I. W. Ho;Chi K. Tse
智能交通系统（ITS）的安全性和商业效益引起了人们对车辆间网络技术（如车辆自组织网络（VANET））的兴趣。IEEE 802.11p作为车载环境下无线接入的标准，引起了人们的广泛关注，特别是其广播性能。然而，以往的网络性能模型大多很少考虑车辆分布，或者简单地假设车辆均匀分布。很明显，由于道路不同部分的交通控制和速度限制，车辆沿道路段沿着不均匀地分布。针对这一不足，本文提出了一种新的方法来研究802.11p VANESTs在城市环境中的实际车辆分布的性能。采用了一个经验验证的随机交通模型，它结合了城市设置（如交通信号灯）对汽车分布的影响，并产生实际的汽车密度分布。基于交通模型中每个位置处的车辆密度的知识，开发了802.11p广播模型，并引入了一个新的度量，广播性能指数（BPI），以更好地表征VANESTO中的广播性能和分组碰撞概率。此外，推导出了BPI的解析封闭形式，并通过大量的仿真验证了其准确性。在一般情况下，我们的研究结果表明，所提出的方法对建模协议性能的适用性，并在城市车辆网络中的其他通信协议和网络配置的性能分析的见解。
The safety and commercial benefits of Intelligent Transportation System (ITS) raised interests towards inter-vehicle networking technologies such as Vehicular Ad-hoc Network (VANET). Being an approved standard for wireless access in vehicular environments, IEEE 802.11p attracts a lot of research attentions, especially on its broadcasting performance. However, most of the previous network performance models paid little attention to vehicle distribution, or simply assumed homogeneous car distribution. It is obvious that vehicles are distributed non-homogeneously along a road segment due to traffic controls and speed limits at different portions of the road. In light of the inadequacy, we present in this paper an original methodology to study the performance of 802.11p VANETs with practical vehicle distribution in urban environment. An empirically verified stochastic traffic model is adopted, which incorporates the effect of urban settings (such as traffic lights) on car distribution and generates practical car density profiles. Based on the knowledge of car density at each location from the traffic model, the 802.11p broadcasting model is developed and a new metric, Broadcasting Performance Index (BPI), is introduced to better characterize the broadcasting performance and packet collision probability in VANETs. Furthermore, the analytical closed form for BPI is derived and its accuracy is confirmed with extensive simulation. In general, our results demonstrate the applicability of the proposed methodology on modeling protocol performance, and shed insights into the performance analysis of other communication protocols and network configurations in urban vehicular networks.