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Electronics
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Emerging Vehicular Ad-Hoc Network: Techniques, Standards, and Applications
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Emerging Vehicular Ad-Hoc Network: Techniques, Standards, and Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: closed (15 April 2023) | Viewed by 6450

Special Issue Editors

Dr. Seungmin Oh

E-Mail Website
Guest Editor
Department of Computer Science and Engineering, Kongju National University, Cheonan, Chungnam 31080, Korea
Interests: vehicular networks; sensor networks; internet of things
Dr. Sangdae Kim

E-Mail Website
Guest Editor
Department of Medical IT Engineering, Soonchunhyang University, Chungnam 31538, Korea
Interests: wireless sensor networks; industrial wireless sensor networks; internet of things; machine learning

Special Issue Information

Dear Colleagues,

In next-generation communication, vehicular ad hoc networks (VANETs) and the Internet of Vehicles (IoV) will be the key players that enable connected vehicles, context-aware transportation, road safety, congestion management, and so on. A variety of devices, applications, standards, and users can be involved in the scenario of emerging VANETs and the IoV.

This Special Issue of Electronics aims to present state-of-art papers in the domain of emerging vehicular ad hoc networks and the Internet of Vehicles, including techniques, standards, and applications. We invite researchers to solicit novel and innovative research papers or insightful review papers.

The topics of interest include, but are not limited to, the following:

  • Mobile edge computing for vehicular networks;
  • Fog/Cloud computing for vehicular networks;
  • Vehicular ad hoc networks;
  • Internet of Vehicles;
  • Autonomous-vehicle-related networks technologies/standards/applications;
  • UAV-related networks technologies/standards/applications;
  • Content centric networks/named data networks/information centric networks for vehicular; applications;
  • Wireless sensor networks;
  • V2X/WAVE/DSRC.

Dr. Seungmin Oh
Dr. Sangdae Kim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • vehicular ad hoc networks
  • internet of vehicles
  • 5G/6G networks
  • content/information centric networks
  • fog/edge computing for vehicles
  • autonomous vehicles
  • unmanned aerial vehicles

Published Papers (4 papers)

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Research

22 pages, 7198 KiB  
Article
Expansion Joints Risk Prediction System Based on IoT Displacement Device
by Jong-Su Park, Hyoung-Min Ham and Yeong-Hwi Ahn
Electronics 2023, 12(12), 2713; https://doi.org/10.3390/electronics12122713 - 17 Jun 2023
Cited by 1 | Viewed by 948
Abstract
Damage to bridge expansion joints arises from a variety of causes such as increasingly deteriorated bridges, abnormal temperatures, and increased traffic. To detect anomalies in the expansion joints, this study proposes an Artificial Intelligence (AI)-model-based diagnosis method of analyzing the vibration of the [...] Read more.
Damage to bridge expansion joints arises from a variety of causes such as increasingly deteriorated bridges, abnormal temperatures, and increased traffic. To detect anomalies in the expansion joints, this study proposes an Artificial Intelligence (AI)-model-based diagnosis method of analyzing the vibration of the bridge bearing that supports the upper structure of a bridge. The proposed system establishes big data with the measured displacement of a bridge bearing and makes an AI-based prediction about the risk of bridge expansion joints. Replacing a bridge bearing makes it possible to manage the bridge displacement before and after construction and helps improve safety inspections and diagnosis methods. It is necessary to prepare a bridge with anomalies for the AI model training. For this reason, a bridge with a bridge bearing was simulated. In addition, a vehicle suitable for the bridge was simulated. The displacement data in normal and abnormal situations were collected, cleaned, and applied to the AI analysis model. The system was found to have over 90% accuracy of prediction about expansion joint faulting and damage. Full article
(This article belongs to the Special Issue Emerging Vehicular Ad-Hoc Network: Techniques, Standards, and Applications)
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16 pages, 446 KiB  
Article
Comparative Analysis of Traffic-Reduction Techniques for Seamless CAN-Based In-Vehicle Network Systems
by Duc N. M. Hoang, Sang Yoon Park and Jong Myung Rhee
Electronics 2023, 12(4), 998; https://doi.org/10.3390/electronics12040998 - 17 Feb 2023
Viewed by 1174
Abstract
Due to the benefits of better bandwidth and reliability, the automotive industry is moving towards Ethernet-based in-vehicle network (IVN) systems as the number of onboard electronic control units has increased. Considering that before long the well-known controller area network (CAN) will still be [...] Read more.
Due to the benefits of better bandwidth and reliability, the automotive industry is moving towards Ethernet-based in-vehicle network (IVN) systems as the number of onboard electronic control units has increased. Considering that before long the well-known controller area network (CAN) will still be considered a standard protocol, our earlier work introduced a high-availability seamless redundancy (HSR)-based Ethernet network architecture that provides IVNs with fault tolerance, called seamless CAN. However, HSR is known for its redundant traffic generated for fault tolerance, which is a disadvantage in bandwidth-limited IVN systems. Therefore, in this paper, we propose a traffic-effective architecture for seamless CAN-based networks. We compared the proficiency of different traffic-reduction approaches as they were applied to our proposed architecture. Extensive simulation results showed that our proposed solution could reduce up to 54% of the total network traffic compared to a conventional architecture while still being able to guarantee a high level of fault tolerance. Full article
(This article belongs to the Special Issue Emerging Vehicular Ad-Hoc Network: Techniques, Standards, and Applications)
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12 pages, 768 KiB  
Article
Chebyshev Polynomial-Based Fog Computing Scheme Supporting Pseudonym Revocation for 5G-Enabled Vehicular Networks
by Zeyad Ghaleb Al-Mekhlafi, Mahmood A. Al-Shareeda, Selvakumar Manickam, Badiea Abdulkarem Mohammed, Abdulrahman Alreshidi, Meshari Alazmi, Jalawi Sulaiman Alshudukhi, Mohammad Alsaffar and Abdulrahman Alsewari
Electronics 2023, 12(4), 872; https://doi.org/10.3390/electronics12040872 - 8 Feb 2023
Cited by 22 | Viewed by 1771
Abstract
The privacy and security of the information exchanged between automobiles in 5G-enabled vehicular networks is at risk. Several academics have offered a solution to these problems in the form of an authentication technique that uses an elliptic curve or bilinear pair to sign [...] Read more.
The privacy and security of the information exchanged between automobiles in 5G-enabled vehicular networks is at risk. Several academics have offered a solution to these problems in the form of an authentication technique that uses an elliptic curve or bilinear pair to sign messages and verify the signature. The problem is that these tasks are lengthy and difficult to execute effectively. Further, the needs for revoking a pseudonym in a vehicular network are not met by these approaches. Thus, this research offers a fog computing strategy for 5G-enabled automotive networks that is based on the Chebyshev polynomial and allows for the revocation of pseudonyms. Our solution eliminates the threat of an insider attack by making use of fog computing. In particular, the fog server does not renew the signature key when the validity period of a pseudonym-ID is about to end. In addition to meeting privacy and security requirements, our proposal is also resistant to a wide range of potential security breaches. Finally, the Chebyshev polynomial is used in our work to sign the message and verify the signature, resulting in a greater performance cost efficiency than would otherwise be possible if an elliptic curve or bilinear pair operation had been employed. Full article
(This article belongs to the Special Issue Emerging Vehicular Ad-Hoc Network: Techniques, Standards, and Applications)
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25 pages, 1379 KiB  
Article
Cooperative Content Precaching Scheme Based on the Mobility Information of Vehicles in Intermittently Connected Vehicular Networks
by Youngju Nam, Jaejeong Bang, Hyunseok Choi, Yongje Shin and Euisin Lee
Electronics 2022, 11(22), 3663; https://doi.org/10.3390/electronics11223663 - 9 Nov 2022
Cited by 5 | Viewed by 2003
Abstract
Intermittently connected vehicular networks (ICVNs) consist of vehicles moving on roads and stationary roadside units (RSUs) deployed along roads. In ICVNs, the long distances between RSUs and the large volume of vehicular content lead to long download delays to vehicles and high traffic [...] Read more.
Intermittently connected vehicular networks (ICVNs) consist of vehicles moving on roads and stationary roadside units (RSUs) deployed along roads. In ICVNs, the long distances between RSUs and the large volume of vehicular content lead to long download delays to vehicles and high traffic overhead on backhaul links. Fortunately, the improved content storage size and the enhanced vehicular mobility prediction afford opportunities to ameliorate these problems by proactively caching (i.e., precaching) content. However, existing precaching schemes exploits RSUs and vehicles individually for content precaching, even though the cooperative precaching between them can reduce download delays and backhaul link traffic. Thus, this paper proposes a cooperative content precaching scheme that exploits the precaching ability of both vehicles and RSUs to enhance the performance of content downloads in ICVNs. Based on the trajectory and velocity information of vehicles, we first select the optimal relaying vehicle and the next RSUs to cache the requested content proactively and provide it to the requester vehicle optimally. Next, we calculate the optimal content precaching amount for each of the relaying vehicle and the downloading RSUs by using a mathematical model that exploits both the dwell time in an RSU and the contact time between vehicles. To compensate for the error of the mobility prediction in determining both the dwell time and the contact time, our scheme adds a guardband to the optimal content precaching amount by considering the expected reduced delay. Finally, we evaluate the proposed scheme in various simulation environments to prove the achievement of efficient content download performance by comparing with the existing schemes. Full article
(This article belongs to the Special Issue Emerging Vehicular Ad-Hoc Network: Techniques, Standards, and Applications)
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