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Advances in Intelligent Vehicular Networks and Communications

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

Deadline for manuscript submissions: closed (25 October 2025) | Viewed by 1271

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State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: blockchain; communication
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Special Issue Information

Dear Colleagues,

Intelligent vehicle networks and communications are developing rapidly towards high reliability, low latency, high intelligence and high security. Their core technologies cover multiple dimensions, such as communication protocols, AI algorithms, security architecture and green design, laying a solid foundation for enhancing the intelligence of future transportation systems. Next-generation V2X communication technology achieves ultra-low latency, high reliability and large-scale device connection by integrating 5G and 6G networks, thus supporting autonomous driving and real-time traffic management. The advancement of cellular wireless communication technology has promoted the multimodal interaction of vehicles with infrastructure, pedestrians and other vehicles, providing underlying support for intelligent transportation systems. Machine learning algorithms are used for traffic flow prediction, path planning and vehicle cooperative control, significantly improving the dynamic response capability of the network. Through AI technology, functions such as vehicle platooning and automatic navigation can be established, reducing the risks posed by human operation and improving the functionality of road resources.

Intelligent vehicle networking technology extends to fields such as smart medical care, the industrial Internet of Things and agriculture, promoting collaborative innovation in multiple scenarios. This Special Issue aims to bring together papers that demonstrate innovative research, practical applications and future trends in intelligent vehicular networks and communications. We welcome original submissions that address key challenges, propose new frameworks and demonstrate the potential of artificial intelligence in vehicle communication systems.

Prof. Dr. Chen Chen
Prof. Dr. Licheng Wang
Guest Editors

Manuscript Submission Information

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Keywords

  • IoT in vehicle communication
  • vehicle communication technology
  • V2X and V2I communication technology
  • 5G/6G networks in vehicle communication
  • real-time traffic management
  • autonomous driving and collaborative driving
  • security and privacy protection
  • blockchain technology
  • energy efficiency and sustainability
  • low-power communication design technology

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Published Papers (1 paper)

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Research

29 pages, 78456 KB  
Article
End-to-End Teleoperated Driving Video Transmission Under 6G with AI and Blockchain
by Ignacio Benito Frontelo, Pablo Pérez, Nuria Oyaga and Marta Orduna
Sensors 2026, 26(2), 571; https://doi.org/10.3390/s26020571 - 14 Jan 2026
Viewed by 786
Abstract
Intelligent vehicle networks powered by machine learning, AI and blockchain are transforming various sectors beyond transportation. In this context, being able to remote drive a vehicle is key for enhancing autonomous driving systems. After deploying end-to-end teleoperated driving systems under 5G networks, the [...] Read more.
Intelligent vehicle networks powered by machine learning, AI and blockchain are transforming various sectors beyond transportation. In this context, being able to remote drive a vehicle is key for enhancing autonomous driving systems. After deploying end-to-end teleoperated driving systems under 5G networks, the need to address complex challenges in other critical areas arises. These challenges belong to different technologies that need to be integrated in this particular system: video transmission and visualization technologies, artificial intelligence techniques, and network optimization features, incorporating haptic devices and critical data security. This article explores how these technologies can enhance the teleoperated driving activity experiences already executed in real-life environments by analyzing the quality of the video which is transmitted over the network, exploring its correlation with the current state-of-the-art AI object detection algorithms, analyzing the extended reality and digital twin paradigms, obtaining the maximum possible performance of forthcoming 6G networks and proposing decentralized security schema for ensuring the privacy and safety of the end-users of teleoperated driving infrastructures. An integrated set of conclusions and recommendations will be given to outline the future teleoperated driving systems design in the forthcoming years. Full article
(This article belongs to the Special Issue Advances in Intelligent Vehicular Networks and Communications)
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