Journal of Advanced Transportation

Technologies for Privacy Preserving, Modelling, Dimensioning, and Communications in Internet of Vehicles (IoVs)


Publishing date
01 Sep 2021
Status
Closed
Submission deadline
14 May 2021

Lead Editor

1Guangzhou University, Guangzhou, China

2University of Naples Parthenope, Naples, Italy

This issue is now closed for submissions.
More articles will be published in the near future.

Technologies for Privacy Preserving, Modelling, Dimensioning, and Communications in Internet of Vehicles (IoVs)

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Vehicular AD Hoc Networks (VANETs) have received increasing attention from both academia and industry due to their ability to integrate technology and expertise to create and provide innovative services, improve safety and mobility, and thus increase the efficiency of existing infrastructure. The appearance of new technologies – such as the Internet of Vehicles (IoV) and cloud computing – has provided opportunities for the development of VANETs by revolutionizing the modern world of travel via the use of sensors, applications for mobile devices, and other technological advancements. These sensors and mobile devices can gather local information after deployment, and the collected data is very important in making correct decisions in relation to motor drivers. Computational Intelligence is an extensive way to allow for knowledge discovery, information sharing, and supported decision making when establishing a large, fully functioning, real-time, accurate, and efficient VANET.

This new notion involves some key networking issues which have changed substantially over recent years as a result of the changes in users’ requirements for the communications convergent multi-service wired and wireless networks. Recent advances in the information and communication technologies are facilitating substantial improvements in transportation, providing technologies and development that ensures safer and more efficient mobility. Novel technologies, such as the Internet of Things, artificial intelligence, advanced automation, etc., are providing solutions that are creating ground-breaking applications that are challenging the way transport is perceived in the society of 21st century.

The objective of this Special Issue is to bring together state-of-the-art research contributions that address challenges in contemporary network design, dimensioning, and optimization. This Special Issue aims to gather recent advanced technologies and applications that address network protocol design, low latency networking, context-aware interaction, energy efficiency, resource management, security, human-robot interaction, assistive technology and robots, application development, and integration of multiple systems that support Vehicular Networks and smart interactions. Designing, dimensioning, and optimization of communication networks resources and services have been an inseparable part of the development of telecommunications and ICT infrastructures from the very beginning of their existence. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Performance evaluation of communications in vehicular networks
  • Computational Intelligence of vehicular networks and services
  • Computational Intelligence of communications in vehicular networks and resources
  • Optimization techniques for vehicular communication network resources
  • Resource management tools for vehicular networks based on Computational Intelligence
  • Heterogeneous network deployment models based on Computational Intelligence
  • Reasoning and learning techniques for interaction in smart vehicles based on Computational intelligence
  • Biometrics in vehicular network based on Computational Intelligence
  • Behavioural biometrics in intelligent transportation systems based on Computational Intelligence
  • Sensors and wireless sensor networks for the Internet of Things
  • Privacy, security and trust management in vehicular networks based on Computational Intelligence
  • Lightweight cryptography in vehicular networks based on Computational Intelligence
  • Autonomous and connected vehicles based on Computational Intelligence
  • Smart mobility based on Computational Intelligence
  • Computational Intelligence-based traffic Control and management systems
Journal of Advanced Transportation
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Acceptance rate36%
Submission to final decision106 days
Acceptance to publication75 days
CiteScore3.400
Journal Citation Indicator0.520
Impact Factor2.419
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Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.