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Sensors (Basel). 2018 Jul 3;18(7). pii: E2133. doi: 10.3390/s18072133.

Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities.

Author information

1
Electrical and Electronic Engineering Department, Universidad de las Fuerzas Armadas ESPE, Sangolquí 171-5-231B, Ecuador. flgranda@espe.edu.ec.
2
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico. flgranda@espe.edu.ec.
3
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico. leyre.azpilicueta@itesm.mx.
4
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico. cvargas@itesm.mx.
5
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico. mikelcelaya@gmail.com.
6
Electrical and Electronic Engineering Department, Public University of Navarre, 31006 Pamplona, Spain. peio.lopez@unavarra.es.
7
Electrical and Electronic Engineering Department, Public University of Navarre, 31006 Pamplona, Spain. erik.aguirre@unavarra.es.
8
Mathematical Engineering and Computer Science Department, Public University of Navarre, 31006 Pamplona, Spain. josej.astrain@unavarra.es.
9
Mathematical Engineering and Computer Science Department, Public University of Navarre, 31006 Pamplona, Spain. pablo.medrano@unavarra.es.
10
Mathematical Engineering and Computer Science Department, Public University of Navarre, 31006 Pamplona, Spain. jesusv@unavarra.es.
11
Electrical and Electronic Engineering Department, Public University of Navarre, 31006 Pamplona, Spain. francisco.falcone@unavarra.es.

Abstract

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).

KEYWORDS:

Smart Cities; Vehicular Ad-Hoc Networks (VANET), Vehicle-to-Infrastructure communication (V2I); Wireless Sensor Networks (WSN), 3D Ray-Launching

Conflict of interest statement

The authors declare no conflict of interest. The statements made herein are solely the responsibility of the authors.

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