Deterministic propagation modeling for intelligent vehicle communication in smart cities

dc.contributor.authorGranda, Fausto
dc.contributor.authorLópez Iturri, Peio
dc.contributor.authorAguirre Gallego, Erik
dc.contributor.authorAstrain Escola, José Javier
dc.contributor.authorMedrano Fernández, Pablo
dc.contributor.authorVilladangos Alonso, Jesús
dc.contributor.authorFalcone Lanas, Francisco
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernua, 0011-1411-2017-000020 BOL BOLETUSes
dc.date.accessioned2020-12-02T10:17:54Z
dc.date.available2020-12-02T10:17:54Z
dc.date.issued2018
dc.description.abstractVehicular 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).en
dc.description.sponsorshipThe authors would like to acknowledge the support of a 2017 Seed Fund award from Tecnológico de Monterrey & CITRIS and the Banatao Institute at the University of California. The authors would also like to acknowledge the support the Government of Navarre under the research grant 0011-1411-2017-000020 BOL BOLETUS.en
dc.format.extent28 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.3390/s18072133
dc.identifier.issn1424-8220
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/38822
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofSensors, 2018, 18(7): 2133en
dc.relation.publisherversionhttps://doi.org/10.3390/s18072133
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access_x000D_ article distributed under the terms and conditions of the Creative Commons Attribution_x000D_ (CC BY) license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSmart citiesen
dc.subjectWireless Sensor Networks (WSN)en
dc.subject3D ray launchingen
dc.subjectVehicular Ad-Hoc Networks (VANET)en
dc.subjectVehicle-to-Infrastructure communication (V2I)en
dc.titleDeterministic propagation modeling for intelligent vehicle communication in smart citiesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
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