Improving Propagation Modeling in Urban Environments for Vehicular Ad Hoc Networks
Abstract
Abstract — Developing applications, especially real-time ones, for wireless vehicular ad hoc networks (VANETs) requires a reasonable assurance of the likely performance of the network, at the least in terms of packet loss ratios and end-to-end delay. Because wireless propagation strongly influences performance, especially in an urban environment, this paper improves on simpler propagation models for simulations by augmenting ray-tracing derived models of propagation. In the non-line-of-sight component: the propagation distance is more closely calculated according to the reflection distance; the effect of roadside obstacles is included; and for modeling of fast fading a phase factor is introduced, all without necessarily overly increasing computational load. In the line-of-sight component, as well as roadside obstacle modeling: single and double reflections from roadside buildings are added to the standard two-ray ground-propagation model; the distribution of vehicles within a street segment is used to model the ground reflection ray more closely; and the reflection coefficient is also adjusted accordingly to account for reflections from vehicles. The results have been compared with widely-used measurement studies of city streets in the literature, which have confirmed the overall advantage of the improvements, especially in the case of the non-line-of-sight component. A simulation case study shows that in general optimistic performance predictions of packet loss occur with the two-ray ground propagation model when indiscriminately applied. The paper, therefore, represents a way forward for VANET wireless channel modeling in simulations. Index Terms—simulation, urban environment, vehicle-to-vehicle communication, wireless propagation G I.
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Tabatabaei et al. improved simpler network topologies for simulation models by enhancing ray-tracing-derived wireless propagation models.
“Tabatabaei et al. [9] improved simpler network topologies for simulation models by enhancing ray-tracing-derived wireless propagation models.”
From Sensor-Based Prognostic Health Management of Advanced Driver Assistance System for Autonomous Vehicles: A Recent Survey (2022) · cites this paper as [9]
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Raouf, I., Khan, A., Khalid, S., Sohail, M., Azad, M. M., & Kim, H. S. (2022) · Mathematics · doi:10.3390/math10183233 · Cited by 41 · see citing works
- Authors
- Hosseini Tabatabaei, S. A., Fleury, M., Qadri, N. N., & Ghanbari, M.
- Affiliations
- University of Essex (GB)
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2011-09
- Volume
- 12
- Issue
- 3
- Pages
- 705-716
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W2106346453
- Cited by
- 46
- References
- 41
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 3 · 2022: 2 · 2019: 3 · 2018: 4 · 2017: 3 · 2016: 3 · 2015: 4 · 2014: 10 · 2013: 4 · 2012: 4
- FWCI
- 4.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Intelligent Transportation Systems (publishedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Millimeter-Wave Propagation and Modeling
- Physical Sciences › Engineering › Control and Systems Engineering › Simulation and Modeling Applications
- Keywords
- vehicular ad hoc networks, ray tracing, non-line-of-sight propagation, line-of-sight propagation, roadside obstacles, fast fading, vehicle-to-vehicle communication, packet loss, end-to-end delay, wireless channel modeling
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