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Spatial Characterization of Radio Propagation Channel in Urban Vehicle-to-Infrastructure Environments to Support WSNs Deployment

Vehicular ad hoc Networks (VANETs) enable vehicles to communicate with each other as well as with roadside units (RSUs). Although there is a significant research effort in radio channel modeling focused on vehicle-to-vehicle (V2V), not much work has been done for vehicle-to-infrastructure (V2I) usin...

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Autores principales: Granda, Fausto, Azpilicueta, Leyre, Vargas-Rosales, Cesar, Lopez-Iturri, Peio, Aguirre, Erik, Astrain, Jose Javier, Villandangos, Jesus, Falcone, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492156/
https://www.ncbi.nlm.nih.gov/pubmed/28590429
http://dx.doi.org/10.3390/s17061313
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author Granda, Fausto
Azpilicueta, Leyre
Vargas-Rosales, Cesar
Lopez-Iturri, Peio
Aguirre, Erik
Astrain, Jose Javier
Villandangos, Jesus
Falcone, Francisco
author_facet Granda, Fausto
Azpilicueta, Leyre
Vargas-Rosales, Cesar
Lopez-Iturri, Peio
Aguirre, Erik
Astrain, Jose Javier
Villandangos, Jesus
Falcone, Francisco
author_sort Granda, Fausto
collection PubMed
description Vehicular ad hoc Networks (VANETs) enable vehicles to communicate with each other as well as with roadside units (RSUs). Although there is a significant research effort in radio channel modeling focused on vehicle-to-vehicle (V2V), not much work has been done for vehicle-to-infrastructure (V2I) using 3D ray-tracing tools. This work evaluates some important parameters of a V2I wireless channel link such as large-scale path loss and multipath metrics in a typical urban scenario using a deterministic simulation model based on an in-house 3D Ray-Launching (3D-RL) algorithm at 5.9 GHz. Results show the high impact that the spatial distance; link frequency; placement of RSUs; and factors such as roundabout, geometry and relative position of the obstacles have in V2I propagation channel. A detailed spatial path loss characterization of the V2I channel along the streets and avenues is presented. The 3D-RL results show high accuracy when compared with measurements, and represent more reliably the propagation phenomena when compared with analytical path loss models. Performance metrics for a real test scenario implemented with a VANET wireless sensor network implemented ad-hoc are also described. These results constitute a starting point in the design phase of Wireless Sensor Networks (WSNs) radio-planning in the urban V2I deployment in terms of coverage.
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spelling pubmed-54921562017-07-03 Spatial Characterization of Radio Propagation Channel in Urban Vehicle-to-Infrastructure Environments to Support WSNs Deployment Granda, Fausto Azpilicueta, Leyre Vargas-Rosales, Cesar Lopez-Iturri, Peio Aguirre, Erik Astrain, Jose Javier Villandangos, Jesus Falcone, Francisco Sensors (Basel) Article Vehicular ad hoc Networks (VANETs) enable vehicles to communicate with each other as well as with roadside units (RSUs). Although there is a significant research effort in radio channel modeling focused on vehicle-to-vehicle (V2V), not much work has been done for vehicle-to-infrastructure (V2I) using 3D ray-tracing tools. This work evaluates some important parameters of a V2I wireless channel link such as large-scale path loss and multipath metrics in a typical urban scenario using a deterministic simulation model based on an in-house 3D Ray-Launching (3D-RL) algorithm at 5.9 GHz. Results show the high impact that the spatial distance; link frequency; placement of RSUs; and factors such as roundabout, geometry and relative position of the obstacles have in V2I propagation channel. A detailed spatial path loss characterization of the V2I channel along the streets and avenues is presented. The 3D-RL results show high accuracy when compared with measurements, and represent more reliably the propagation phenomena when compared with analytical path loss models. Performance metrics for a real test scenario implemented with a VANET wireless sensor network implemented ad-hoc are also described. These results constitute a starting point in the design phase of Wireless Sensor Networks (WSNs) radio-planning in the urban V2I deployment in terms of coverage. MDPI 2017-06-07 /pmc/articles/PMC5492156/ /pubmed/28590429 http://dx.doi.org/10.3390/s17061313 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Granda, Fausto
Azpilicueta, Leyre
Vargas-Rosales, Cesar
Lopez-Iturri, Peio
Aguirre, Erik
Astrain, Jose Javier
Villandangos, Jesus
Falcone, Francisco
Spatial Characterization of Radio Propagation Channel in Urban Vehicle-to-Infrastructure Environments to Support WSNs Deployment
title Spatial Characterization of Radio Propagation Channel in Urban Vehicle-to-Infrastructure Environments to Support WSNs Deployment
title_full Spatial Characterization of Radio Propagation Channel in Urban Vehicle-to-Infrastructure Environments to Support WSNs Deployment
title_fullStr Spatial Characterization of Radio Propagation Channel in Urban Vehicle-to-Infrastructure Environments to Support WSNs Deployment
title_full_unstemmed Spatial Characterization of Radio Propagation Channel in Urban Vehicle-to-Infrastructure Environments to Support WSNs Deployment
title_short Spatial Characterization of Radio Propagation Channel in Urban Vehicle-to-Infrastructure Environments to Support WSNs Deployment
title_sort spatial characterization of radio propagation channel in urban vehicle-to-infrastructure environments to support wsns deployment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492156/
https://www.ncbi.nlm.nih.gov/pubmed/28590429
http://dx.doi.org/10.3390/s17061313
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