Next Article in Journal
A Method for the Assessment of Textile Pilling Tendency Using Optical Coherence Tomography
Previous Article in Journal
Dependent-Gaussian-Process-Based Learning of Joint Torques Using Wearable Smart Shoes for Exoskeleton
Previous Article in Special Issue
Reinforcement Learning for Energy Optimization with 5G Communications in Vehicular Social Networks
Open AccessEditorial

Vehicular Sensor Networks: Applications, Advances and Challenges

1
Cyber Security Research Group, College of Engineering and Technology, University of Derby, Derby DE22 3AW, UK
2
JMA Wireless, Liverpool, NY 13088, USA
3
Institute of Information Systems, Innopolis University, 420500 Innopolis, Russia
4
Department of Mathematics and Computer Science, University of Ghardaia, Ghardaia 4700, Algeria
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(13), 3686; https://doi.org/10.3390/s20133686
Received: 22 June 2020 / Accepted: 29 June 2020 / Published: 1 July 2020
(This article belongs to the Special Issue Vehicular Sensor Networks: Applications, Advances and Challenges)
Vehicular sensor networks (VSN) provide a new paradigm for transportation technology and demonstrate massive potential to improve the transportation environment due to the unlimited power supply of the vehicles and resulting minimum energy constraints. This special issue is focused on the recent developments within the vehicular networks and vehicular sensor networks domain. The papers included in this Special Issue (SI) provide useful insights to the implementation, modelling, and integration of novel technologies, including blockchain, named data networking, and 5G, to name a few, within vehicular networks and VSN. View Full-Text
Keywords: vehicular sensor networks (VSN); vehicular ad-hoc networks (VANET); security; privacy and trust; cyber security; multimedia and cellular communication; emerging IoT applications in VANET and VSN; blockchain within VANET and VSN vehicular sensor networks (VSN); vehicular ad-hoc networks (VANET); security; privacy and trust; cyber security; multimedia and cellular communication; emerging IoT applications in VANET and VSN; blockchain within VANET and VSN
MDPI and ACS Style

Kurugollu, F.; Ahmed, S.H.; Hussain, R.; Ahmad, F.; Kerrache, C.A. Vehicular Sensor Networks: Applications, Advances and Challenges. Sensors 2020, 20, 3686.

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.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop