Cargando…

Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities

Vehicular Ad Hoc Networks (VANETs) are envisaged to be a critical building block of Smart Cities and Intelligent Transportation System (ITS) where applications for pollution, congestion reduction, vehicle mobility improvement, accident prevention and safer roads are some of the VANETs expected benef...

Descripción completa

Detalles Bibliográficos
Autores principales: Granda, Fausto, Azpilicueta, Leyre, Vargas-Rosales, Cesar, Celaya-Echarri, Mikel, Lopez-Iturri, Peio, Aguirre, Erik, Astrain, Jose Javier, Medrano, Pablo, Villandangos, Jesus, Falcone, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069008/
https://www.ncbi.nlm.nih.gov/pubmed/29970826
http://dx.doi.org/10.3390/s18072133
_version_ 1783343398618398720
author Granda, Fausto
Azpilicueta, Leyre
Vargas-Rosales, Cesar
Celaya-Echarri, Mikel
Lopez-Iturri, Peio
Aguirre, Erik
Astrain, Jose Javier
Medrano, Pablo
Villandangos, Jesus
Falcone, Francisco
author_facet Granda, Fausto
Azpilicueta, Leyre
Vargas-Rosales, Cesar
Celaya-Echarri, Mikel
Lopez-Iturri, Peio
Aguirre, Erik
Astrain, Jose Javier
Medrano, Pablo
Villandangos, Jesus
Falcone, Francisco
author_sort Granda, Fausto
collection PubMed
description Vehicular Ad Hoc Networks (VANETs) are envisaged to be a critical building block of Smart Cities and Intelligent Transportation System (ITS) where applications for pollution, congestion reduction, vehicle mobility improvement, accident prevention and safer roads are some of the VANETs expected benefits towards Intelligent Vehicle Communications. Although there is a significant research effort in Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communication radio channel characterization, the use of a deterministic approach as a complement of theoretical and empirical models is required to understand more accurately the propagation phenomena in urban environments. In this work, a deterministic computational tool based on an in-house 3D Ray-Launching algorithm is used to represent and analyze large-scale and small-scale urban radio propagation phenomena, including vehicle movement effects on each of the multipath components. In addition, network parameters such as throughput, packet loss and jitter, have been obtained by means of a set of experimental measurements for different V2I and V2V links. Results show the impact of factors such as distance, frequency, location of antenna transmitters (TX), obstacles and vehicle speed. These results are useful for radio-planning Wireless Sensor Networks (WSNs) designers and deployment of urban Road Side Units (RSUs).
format Online
Article
Text
id pubmed-6069008
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-60690082018-08-07 Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities Granda, Fausto Azpilicueta, Leyre Vargas-Rosales, Cesar Celaya-Echarri, Mikel Lopez-Iturri, Peio Aguirre, Erik Astrain, Jose Javier Medrano, Pablo Villandangos, Jesus Falcone, Francisco Sensors (Basel) Article Vehicular Ad Hoc Networks (VANETs) are envisaged to be a critical building block of Smart Cities and Intelligent Transportation System (ITS) where applications for pollution, congestion reduction, vehicle mobility improvement, accident prevention and safer roads are some of the VANETs expected benefits towards Intelligent Vehicle Communications. Although there is a significant research effort in Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communication radio channel characterization, the use of a deterministic approach as a complement of theoretical and empirical models is required to understand more accurately the propagation phenomena in urban environments. In this work, a deterministic computational tool based on an in-house 3D Ray-Launching algorithm is used to represent and analyze large-scale and small-scale urban radio propagation phenomena, including vehicle movement effects on each of the multipath components. In addition, network parameters such as throughput, packet loss and jitter, have been obtained by means of a set of experimental measurements for different V2I and V2V links. Results show the impact of factors such as distance, frequency, location of antenna transmitters (TX), obstacles and vehicle speed. These results are useful for radio-planning Wireless Sensor Networks (WSNs) designers and deployment of urban Road Side Units (RSUs). MDPI 2018-07-03 /pmc/articles/PMC6069008/ /pubmed/29970826 http://dx.doi.org/10.3390/s18072133 Text en © 2018 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
Celaya-Echarri, Mikel
Lopez-Iturri, Peio
Aguirre, Erik
Astrain, Jose Javier
Medrano, Pablo
Villandangos, Jesus
Falcone, Francisco
Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities
title Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities
title_full Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities
title_fullStr Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities
title_full_unstemmed Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities
title_short Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities
title_sort deterministic propagation modeling for intelligent vehicle communication in smart cities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069008/
https://www.ncbi.nlm.nih.gov/pubmed/29970826
http://dx.doi.org/10.3390/s18072133
work_keys_str_mv AT grandafausto deterministicpropagationmodelingforintelligentvehiclecommunicationinsmartcities
AT azpilicuetaleyre deterministicpropagationmodelingforintelligentvehiclecommunicationinsmartcities
AT vargasrosalescesar deterministicpropagationmodelingforintelligentvehiclecommunicationinsmartcities
AT celayaecharrimikel deterministicpropagationmodelingforintelligentvehiclecommunicationinsmartcities
AT lopeziturripeio deterministicpropagationmodelingforintelligentvehiclecommunicationinsmartcities
AT aguirreerik deterministicpropagationmodelingforintelligentvehiclecommunicationinsmartcities
AT astrainjosejavier deterministicpropagationmodelingforintelligentvehiclecommunicationinsmartcities
AT medranopablo deterministicpropagationmodelingforintelligentvehiclecommunicationinsmartcities
AT villandangosjesus deterministicpropagationmodelingforintelligentvehiclecommunicationinsmartcities
AT falconefrancisco deterministicpropagationmodelingforintelligentvehiclecommunicationinsmartcities