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

被引:28
作者
Gramaglia, Marco [1 ,2 ]
Trullols-Cruces, Oscar [3 ]
Naboulsi, Diala [4 ,5 ]
Fiore, Marco [5 ,6 ]
Calderon, Maria [2 ]
机构
[1] IMDEA Networks, Madrid 28918, Spain
[2] UC3M, Madrid 28911, Spain
[3] UPC, Barcelona 08034, Spain
[4] INSA Lyon, F-69621 Villeurbanne, France
[5] Inria, F-69621 Villeurbanne, France
[6] CNR IEIIT, I-10129 Turin, Italy
关键词
Vehicular networks; Highway traffic; Synthetic traces; vehicle-to-vehicle communication; Complex networks; PROPAGATION; INFORMATION; SIMULATION; MODEL;
D O I
10.1016/j.comcom.2015.10.014
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:28 / 44
页数:17
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