Next Article in Journal
Differential Ultra-Wideband Microwave Imaging: Principle Application Challenges
Next Article in Special Issue
Acoustic Parametric Signal Generation for Underwater Communication
Previous Article in Journal
Design and Implementation of a Central-Controllable and Secure Multicast System Based on Universal Identifier Network
Previous Article in Special Issue
Smart Sensing of Pavement Temperature Based on Low-Cost Sensors and V2I Communications
Open AccessArticle

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
  |  
PDF [12652 KB, uploaded 3 July 2018]
  |  

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). 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)
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top