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Mobility and connectivity in highway vehicular networks: A case study in Madrid

机译:高速公路车辆网络中的移动性和连接性:以马德里为例

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摘要

The performance of protocols and architectures for upcoming vehicular networks is commonly investigated by means of computer simulations, due to the excessive cost and complexity of large-scale experiments. Dependable and reproducible simulations are thus paramount to a proper evaluation of vehicular networking solutions. Yet, we lack today a reference dataset of vehicular mobility scenarios that are realistic, publicly available, heterogeneous, and that can be used for networking simulations straightaway. In this paper, we contribute to the endeavor of developing such a reference dataset, and present original synthetic traces that are generated from high-resolution real-world traffic counts. They describe road traffic in quasi-stationary state on three highways near Madrid, Spain, for different time-spans of several working days. To assess the potential impact of the traces on networking studies, we carry out a comprehensive analysis of the vehicular network topology they yield. Our results highlight the significant variability of the vehicular connectivity over time and space, and its invariant correlation with the vehicular density. We also underpin the dramatic influence of the communication range on the network fragmentation, availability, and stability, in all of the scenarios we consider. (C) 2015 Elsevier B.V. All rights reserved.
机译:由于大规模实验的过高成本和复杂性,通常通过计算机仿真来研究即将到来的车载网络的协议和体系结构的性能。因此,可靠和可复制的仿真对于正确评估车载网络解决方案至关重要。但是,今天我们缺少车辆出行场景的参考数据集,这些参考数据集是现实的,公开可用的,异构的,并且可以直接用于网络仿真。在本文中,我们为开发这样的参考数据集做出了贡献,并提出了从高分辨率现实世界交通量生成的原始合成迹线。他们描述了在西班牙马德里附近的三条高速公路上准静止状态下的道路交通情况,这些时间跨度为几个工作日。为了评估这些痕迹对网络研究的潜在影响,我们对它们产生的车载网络拓扑进行了全面分析。我们的结果强调了车辆连通性随时间和空间的显着变化,以及其与车辆密度的不变相关性。在我们考虑的所有情况下,我们还支持通信范围对网络碎片化,可用性和稳定性的巨大影响。 (C)2015 Elsevier B.V.保留所有权利。

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