Enhancing the Robustness, Security, and Intelligence of Communication on the Internet of Vehicles (IoV)

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

Deadline for manuscript submissions: 15 June 2024 | Viewed by 140

Special Issue Editors


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Guest Editor
School of Engineering and Computing, University of West London, St Mary's Road Ealing, London W5 5RF, UK
Interests: cyber security; cryptography; SDN; IoT; network coding

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Guest Editor
School of Design and Informatics, Abertay University, Dundee DD1 1HG, UK
Interests: artificial intelligence; distributed systems; networks; scheduling; optimisation
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Special Issue Information

Dear Colleagues,

The Internet of Vehicles (IoV) represents a transformative paradigm that promises to revolutionize transportation by connecting vehicles and infrastructure via a cohesive network. The IoV promises to improve road safety, traffic efficiency, and the overall driving experience through seamless connectivity. However, its deployment introduces vulnerabilities to security breaches, data privacy concerns, and the reliability of communication networks. To address these challenges, researchers and practitioners are pioneering novel approaches in order to fortify IoV infrastructure. Robustness is achieved through fault-tolerant communication protocols, adaptive network management, and resilient data transmission. Security measures encompass encryption, authentication, and intrusion detection systems, helping to safeguard sensitive data and thwarting cyber threats. Furthermore, the IoV's intelligence is elevated through machine learning, artificial intelligence, and data analytics, enabling predictive maintenance, traffic prediction, and intelligent routing.

This Special Issue is seeking to publish innovative solutions and cutting-edge research addressing these critical aspects of IoV communication. We invite contributions that delve into the development of resilient communication protocols, robust vehicular networks, and secure data transmission mechanisms. Furthermore, we encourage investigations into the integration of intelligent technologies, such as AI and machine learning, to optimize IoV communication, enabling vehicles to make informed decisions in real time.

Authors are invited to submit original research articles, reviews, and case studies that shed light on the multifaceted dimensions of communication in IoV. Together, we aim to advance the state of knowledge in the field and provide insights with value for creating a safer, more efficient, and interconnected vehicular environment. Topics include, but are not limited to:

  • Secure architectures for IoV;
  • Logically centralized and distributed strategies in IoV;
  • Machine learning strategies for IoV;
  • Traffic prediction in vehicular networks;
  • Integration of software-defined networking (SDN) and vehicular networks.

Dr. Alireza Esfahani
Dr. Ayman Radwan
Dr. Javad Zarrin
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

  • resilient
  • vehicular networks
  • artificial intelligence
  • privacy
  • secure communications

Published Papers

This special issue is now open for submission.
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