Novel Advances in Internet of Vehicles
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 30 May 2024 | Viewed by 596
Special Issue Editors
Interests: information and communication technology; edge/cloud computing; Internet of Vehicles; distributed machine learning
Special Issue Information
Dear Colleagues,
The Internet of Vehicles (IoV) represents an innovative and emerging field which aims to achieve the integration of vehicles with the Internet and other advanced technologies, enabling for advanced communication, data sharing, and automation to improve daily transportation safety, efficiency, and convenience. Therefore, this Special Issue is intended for the presentation of new ideas and experimental results for Advances in the Internet of Vehicles from design, service, and theory to architecture and applications. Areas relevant to Advances in the Internet of Vehicles include, but are not limited to: advanced communication technology-enabled connectivity, autonomous driving and advanced driver assistance systems, novel concurrent algorithms and applications, edge/cloud-assisted IoV, large-scale network management, mobile health care, IoV ecosystem and environmental impact analysis, IoV security, artificial intelligence (AI) and machine learning such as explainable AI, and other sources. In addition, the IoV necessary to achieve high performance and techniques for resource sharing market, in the context of parallel and distributed systems, resource and service trading, and cost-effective and energy-aware transportation, are also topics of interest.
Dr. Minghui Liwang
Prof. Dr. Yuliang Tang
Guest Editors
Manuscript Submission Information
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Keywords
- 5G/6G vehicle-to-everything communications
- distributed and advanced learning in the IoV
- space–air–ground-integrated IoV
- advanced technologies in secure IoV
- IoV ecosystem and environmental benefits
- device/edge/cloud computing in the IoV
- autonomous driving
