CORNER: a realistic urban propagation model for VANET

Giordano, Eugenio; Frank, Raphaël; Pau, Giovanni; Gerla, Mário

doi:10.1109/wons.2010.5437133

Cited by 86 publications

(50 citation statements)

References 3 publications

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“…Measurements [6,14] show that fading effects in V2V channel have distinct features beyond what generalized mobileto-mobile fading models usually capture. Models with better assumptions on scatterer patterns have been developed, for both LOS [19] and fading effects [4,5]. Finding accurate values for model parameters for any specific environment is a significant challenge with any of these models.…”

Section: Related Workmentioning

confidence: 99%

Improving the accuracy of environment-specific vehicular channel modeling

Wang

Anderson

Steenkiste

et al. 2012

Proceedings of the Seventh ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterizatio

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Networking research benefits from the controlled, repeatable experimentation provided by simulation and emulation systems. Making such simulations realistic is a challenge for wireless systems and is especially difficult for vehicular networks. This paper introduces a realistic vehicular channel simulation model that includes a Line-Of-Sight (LOS ) module and Vehicle-to-Vehicle (V2V) fading module specially designed for vehicular channels.Specialized models can provide a close approximation of real channel conditions, but their accuracy is limited by the quality of input information about the environment being modeled. In this paper, we present a systematic approach to estimate location-specific scattering properties using aerial photography. We show that this approach significantly improves the accuracy of simulated channel fading.

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Section: Related Workmentioning

confidence: 99%

Improving the accuracy of environment-specific vehicular channel modeling

Wang

Anderson

Steenkiste

et al. 2012

Proceedings of the Seventh ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterizatio

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“…4 [8] enhances the 802.11p MAC layer to work in a multichannel environment. WAVE devices are expected to be deployed either as single-radio devices, which operate on one radio channel at a time or as dual-radio devices, which are capable of simultaneously monitoring control and service channels.…”

Section: Wave Protocol Suitementioning

confidence: 99%

“…While the suggested models are straightforward, they adhere to and are validated by existing measurements [4,6] and, what makes them relevant, can deeply influence and change the results.…”

Section: Introductionmentioning

confidence: 99%

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Vehicular connectivity in urban scenarios: effectiveness and potential of roadside, moving WAVE providers and hybrid solutions

Campolo

Cozzetti

Molinaro

et al. 2011

J Wireless Com Network

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Vehicular ad-hoc networks are expected to be a key enabling technology for the development of future Intelligent Transportation Systems (ITSs), by delivering a wide range of services, spanning from safety alerting to route guidance and entertainment. Most of ITS applications require vehicles on the road to access the Internet through wireless communications with road-side units. The high vehicle mobility coupled with the large amount of investments required for deploying a complete roadside infrastructure will cause vehicle-to-roadside (V2R) connectivity to be poor, short-lived, and intermittent by negatively affecting the performance of envisioned applications. The purpose of this paper is to gain a deeper insight into possible issues related to service access and provisioning when considering the multi-channel operations envisioned by the IEEE 802.11p/WAVE (Wireless Access in Vehicular Environments) standards. We investigate network connectivity offered by roadside and moving WAVE providers in a realistic urban scenario where wireless propagation is hindered by obstructions. Results prove that hybrid solutions complementing roadside providers with moving ones lead to improved connectivity and data delivery performance, by potentially incurring lower deployment costs.

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“…Furthermore, geometrical signal propagation models have to account for two types of obstructions that affect the signal: static obstructions (e.g., road surface, buildings, overpasses, hills, etc.) and (Nagel & Eichler (2008) and Giordano et al (2010)) and proposed models for accurately quantifying the impact of static obstacles. However, due to the nature of VANETs, where communication is often performed in V2V fashion, it is reasonable to expect that the moving vehicles will act as obstacles to the signal, often affecting the signal propagation even more than static obstacles (e.g., in case of an open road).…”

Section: Signal Propagation Modelsmentioning

confidence: 99%