Next Article in Journal
Self-Alignment MEMS IMU Method Based on the Rotation Modulation Technique on a Swing Base
Next Article in Special Issue
Crowdsourcing-Assisted Radio Environment Database for V2V Communication
Previous Article in Journal
Discrimination of Temperature and Strain in Brillouin Optical Time Domain Analysis Using a Multicore Optical Fiber
Previous Article in Special Issue
A Vehicular Mobile Standard Instrument for Field Verification of Traffic Speed Meters Based on Dual-Antenna Doppler Radar Sensor
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(4), 1177; https://doi.org/10.3390/s18041177

Vehicular Visible Light Networks for Urban Mobile Crowd Sensing

CNR-IEIIT, v.le Risorgimento, 2, 40136 Bologna, Italy
*
Author to whom correspondence should be addressed.
Received: 19 March 2018 / Revised: 6 April 2018 / Accepted: 10 April 2018 / Published: 12 April 2018
(This article belongs to the Special Issue Smart Vehicular Mobile Sensing)
View Full-Text   |   Download PDF [1269 KB, uploaded 3 May 2018]   |  

Abstract

Crowd sensing is a powerful tool to map and predict interests and events. In the future, it could be boosted by an increasing number of connected vehicles sharing information and intentions. This will be made available by on board wireless connected devices able to continuously communicate with other vehicles and with the environment. Among the enabling technologies, visible light communication (VLC) represents a low cost solution in the short term. In spite of the fact that vehicular communications cannot rely on the sole VLC due to the limitation provided by the light which allows communications in visibility only, VLC can however be considered to complement other wireless communication technologies which could be overloaded in dense scenarios. In this paper we evaluate the performance of VLC connected vehicles when urban crowd sensing is addressed and we compare the performance of sole vehicular visible light networks with that of VLC as a complementary technology of IEEE 802.11p. Results, obtained through a realistic simulation tool taking into account both the roadmap constraints and the technologies protocols, help to understand when VLC provides the major improvement in terms of delivered data varying the number and position of RSUs and the FOV of the receiver. View Full-Text
Keywords: connected vehicles; vehicular networks; visible light communications; IEEE 802.11p; DSRC; complementary technologies; heterogeneous networks; crowd sensing, offloading connected vehicles; vehicular networks; visible light communications; IEEE 802.11p; DSRC; complementary technologies; heterogeneous networks; crowd sensing, offloading
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

Masini, B.M.; Bazzi, A.; Zanella, A. Vehicular Visible Light Networks for Urban Mobile Crowd Sensing. Sensors 2018, 18, 1177.

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