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Article

Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities

1
Electrical and Electronic Engineering Department, Universidad de las Fuerzas Armadas ESPE, Sangolquí 171-5-231B, Ecuador
2
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico
3
Electrical and Electronic Engineering Department, Public University of Navarre, 31006 Pamplona, Spain
4
Mathematical Engineering and Computer Science Department, Public University of Navarre, 31006 Pamplona, Spain
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(7), 2133; https://doi.org/10.3390/s18072133
Received: 31 May 2018 / Revised: 29 June 2018 / Accepted: 29 June 2018 / Published: 3 July 2018
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). View Full-Text
Keywords: Smart Cities; Wireless Sensor Networks (WSN), 3D Ray-Launching; Vehicular Ad-Hoc Networks (VANET), Vehicle-to-Infrastructure communication (V2I) Smart Cities; Wireless Sensor Networks (WSN), 3D Ray-Launching; Vehicular Ad-Hoc Networks (VANET), Vehicle-to-Infrastructure communication (V2I)
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MDPI and ACS Style

Granda, F.; Azpilicueta, L.; Vargas-Rosales, C.; Celaya-Echarri, M.; Lopez-Iturri, P.; Aguirre, E.; Astrain, J.J.; Medrano, P.; Villandangos, J.; Falcone, F. Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities. Sensors 2018, 18, 2133. https://doi.org/10.3390/s18072133

AMA Style

Granda F, Azpilicueta L, Vargas-Rosales C, Celaya-Echarri M, Lopez-Iturri P, Aguirre E, Astrain JJ, Medrano P, Villandangos J, Falcone F. Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities. Sensors. 2018; 18(7):2133. https://doi.org/10.3390/s18072133

Chicago/Turabian Style

Granda, Fausto, Leyre Azpilicueta, Cesar Vargas-Rosales, Mikel Celaya-Echarri, Peio Lopez-Iturri, Erik Aguirre, Jose J. Astrain, Pablo Medrano, Jesus Villandangos, and Francisco Falcone. 2018. "Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities" Sensors 18, no. 7: 2133. https://doi.org/10.3390/s18072133

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