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Advanced Vehicular Ad Hoc Networks (Volume II)
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Advanced Vehicular Ad Hoc Networks (Volume II)

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 1471

Special Issue Editors

Prof. Dr. Lei Zhang

E-Mail Website
Guest Editor
Software Engineering Institute, East China Normal University, Shanghai 200062, China
Interests: information security; cryptography; VANET security; cloud security; data privacy; network security
Special Issues, Collections and Topics in MDPI journals
Dr. Weizhi Meng

E-Mail Website
Guest Editor
Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Interests: cyber security; intrusion detection; mobile security and authentication; HCI security; malware analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Kaitai Liang

E-Mail Website
Guest Editor
Cybersecurity Group, Delft University of Technology, Van Mourik Broekmanweg 6, 2628 XE Delft, The Netherlands
Interests: privacy-preserving machine learning; blockchain and smart contract security; post-quantum security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is a continuation of our previous Special Issue "Advanced Vehicular Ad Hoc Networks" (https://0-www-mdpi-com.brum.beds.ac.uk/journal/sensors/special_issues/Vehicular_Ad_Hoc_Networks).

Vehicular ad hoc networks (VANETs) have been an important research area in recent years. With the emergence of new technologies—e.g., 5G, cloud/fog computing, blockchain, and federal learning—VANETs are currently facing new development trends. Advanced VANETs that combine traditional VANETs with these emerging technologies may significantly improve transportation safety and efficiency, as well as the experiences of car owners. However, advanced VANETs also encounter new challenges. Therefore, new architectures, mechanisms, and protocols must be developed to overcome them. Potential topics include, but are not limited to, the following: 

  • Network architectures and protocols for VANETs;
  • 5G platforms for VANETs;
  • UAV-assisted VANETs;
  • Efficient and reliable communication in VANETs;
  • Security and privacy protection in VANETs;
  • Crowdsensing technologies and techniques for VANETs
  • Emerging IoT applications in vehicular social networks (VSNs);
  • Big data analysis in vehicular systems and networks;
  • Cyber-physical system control and safety in Vehicular networks;
  • Vehicle communications: V2X, V2V, V2I;
  • Vehicular networks;
  • Vehicle to Everything;
  • Blockchain in vehicles;
  • Wireless in-car networks;
  • Vehicular ad hoc networks (VANETs).

This Special Issue addresses new architectures, mechanisms, and protocols designed for advanced VANETs. Survey papers are also welcome.

Prof. Dr. Lei Zhang
Dr. Weizhi Meng
Dr. Kaitai Liang
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. Sensors 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 2600 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

  • 5G-enabled VANET
  • vehicular cloud/fog
  • block-chain based VANET
  • security and privacy
  • federal learning in VANET
  • intrusion detection

Published Papers (2 papers)

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Research

21 pages, 1606 KiB  
Article
Multiple-Junction-Based Traffic-Aware Routing Protocol Using ACO Algorithm in Urban Vehicular Networks
by Seung-Won Lee, Kyung-Soo Heo, Min-A Kim, Do-Kyoung Kim and Hoon Choi
Sensors 2024, 24(9), 2913; https://0-doi-org.brum.beds.ac.uk/10.3390/s24092913 - 02 May 2024
Viewed by 86
Abstract
The burgeoning interest in intelligent transportation systems (ITS) and the widespread adoption of in-vehicle amenities like infotainment have spurred a heightened fascination with vehicular ad-hoc networks (VANETs). Multi-hop routing protocols are pivotal in actualizing these in-vehicle services, such as infotainment, wirelessly. This study [...] Read more.
The burgeoning interest in intelligent transportation systems (ITS) and the widespread adoption of in-vehicle amenities like infotainment have spurred a heightened fascination with vehicular ad-hoc networks (VANETs). Multi-hop routing protocols are pivotal in actualizing these in-vehicle services, such as infotainment, wirelessly. This study presents a novel protocol called multiple junction-based traffic-aware routing (MJTAR) for VANET vehicles operating in urban environments. MJTAR represents an advancement over the improved greedy traffic-aware routing (GyTAR) protocol. MJTAR introduces a distributed mechanism capable of recognizing vehicle traffic and computing curve metric distances based on two-hop junctions. Additionally, it employs a technique to dynamically select the most optimal multiple junctions between source and destination using the ant colony optimization (ACO) algorithm. We implemented the proposed protocol using the network simulator 3 (NS-3) and simulation of urban mobility (SUMO) simulators and conducted performance evaluations by comparing it with GSR and GyTAR. Our evaluation demonstrates that the proposed protocol surpasses GSR and GyTAR by over 20% in terms of packet delivery ratio, with the end-to-end delay reduced to less than 1.3 s on average. Full article
(This article belongs to the Special Issue Advanced Vehicular Ad Hoc Networks (Volume II))
20 pages, 999 KiB  
Article
Dynamic Privacy-Preserving Anonymous Authentication Scheme for Condition-Matching in Fog-Cloud-Based VANETs
by Yonghua Zhan, Weipeng Xie, Rui Shi, Yunhu Huang and Xianghan Zheng
Sensors 2024, 24(6), 1773; https://0-doi-org.brum.beds.ac.uk/10.3390/s24061773 - 09 Mar 2024
Viewed by 641
Abstract
Secure group communication in Vehicle Ad hoc Networks (VANETs) over open channels remains a challenging task. To enable secure group communications with conditional privacy, it is necessary to establish a secure session using Authenticated Key Agreement (AKA). However, existing AKAs suffer from problems [...] Read more.
Secure group communication in Vehicle Ad hoc Networks (VANETs) over open channels remains a challenging task. To enable secure group communications with conditional privacy, it is necessary to establish a secure session using Authenticated Key Agreement (AKA). However, existing AKAs suffer from problems such as cross-domain dynamic group session key negotiation and heavy computational burdens on the Trusted Authority (TA) and vehicles. To address these challenges, we propose a dynamic privacy-preserving anonymous authentication scheme for condition matching in fog-cloud-based VANETs. The scheme employs general Elliptic Curve Cryptosystem (ECC) technology and fog-cloud computing methods to decrease computational overhead for On-Board Units (OBUs) and supports multiple TAs for improved service quality and robustness. Furthermore, certificateless technology alleviates TAs of key management burdens. The security analysis indicates that our solution satisfies the communication security and privacy requirements. Experimental simulations verify that our method achieves optimal overall performance with lower computational costs and smaller communication overhead compared to state-of-the-art solutions. Full article
(This article belongs to the Special Issue Advanced Vehicular Ad Hoc Networks (Volume II))
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