Guest Editors
Dr. Sangsoon Lim
Email: slim@sungkyul.ac.kr
Affiliation: Department of Computer Engineering, Sungkyul University, Anyang-si, South Korea
Homepage:
Research Interests: artificial intelligence, machine learning, Internet of Things, wireless networks and mobile computing
Summary
This special issue is dedicated to providing a robust platform for showcasing cutting-edge research and technological advancements in the domain of Vehicular Ad hoc Networks (VANETs). As the landscape of vehicular communication evolves rapidly with the introduction of advanced networks like 5G, B5G (Beyond 5G), and the imminent arrival of 6G, VANETs are poised for transformative developments. These advancements promise to significantly enhance connectivity, reliability, and security within vehicular networks, facilitating the realization of intelligent and autonomous transportation systems.
The objective of this special issue is to gather high-quality research that addresses the latest challenges and presents innovative solutions in the VANET domain. By focusing on the intersection of emerging technologies and vehicular communication, this special issue aims to contribute to the broader field of intelligent transportation systems and smart cities.
We are inviting submissions that cover, but are not limited to, the following key areas:
- Next-Generation V2X Communication:
This topic explores the integration of advanced communication technologies, specifically 5G and 6G, into VANETs to improve Vehicle-to-Everything (V2X) communication. Emphasis is on achieving Ultra-Reliable Low-Latency Communication (URLLC) and supporting Massive Machine-Type Communications (mMTC). Research in this area seeks to ensure seamless, real-time data exchange between vehicles, infrastructure, and other entities, which is critical for the functioning of autonomous vehicles and smart traffic management systems.
- AI and Machine Learning in VANETs:
Leveraging Artificial Intelligence (AI) and Machine Learning (ML) within VANETs opens up possibilities for enhancing predictive maintenance, optimizing traffic flows, enabling autonomous vehicle navigation, and facilitating real-time decision-making. This topic invites research that develops AI-driven algorithms and models tailored for the dynamic and complex environment of vehicular networks.
- Blockchain-Enabled VANETs:
Blockchain technology offers a decentralized and secure framework for VANETs, addressing crucial issues such as privacy, authentication, and trust management. This area of interest focuses on how blockchain can be effectively integrated into VANETs to create a more secure and resilient vehicular communication network, safeguarding against malicious attacks and ensuring data integrity.
- Edge Computing and IoT Integration:
The integration of Edge Computing and the Internet of Things (IoT) with VANETs is key to enhancing network efficiency. By processing data closer to the source, edge computing reduces latency and enables real-time analytics, which is essential for applications like autonomous driving and smart traffic management. Research in this area may focus on the architecture and implementation of edge computing frameworks, as well as the role of IoT devices in vehicular networks.
- Safety and Security Protocols:
Ensuring the safety and security of communications within VANETs is paramount. This topic encourages the development of advanced protocols for secure Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications. Research may include collision avoidance systems, cybersecurity measures to protect against hacking, and the development of privacy-preserving communication protocols.
- Energy-Efficient Designs:
With the rise of electric vehicles and the need for sustainable technologies, energy efficiency in VANETs is becoming increasingly important. This area invites innovative approaches to reduce the energy consumption of vehicular networks, particularly focusing on low-power communication protocols and energy-efficient network architectures that cater to battery-constrained environments.
Collaborative and Autonomous Driving:
This topic covers innovations in cooperative driving strategies, such as platooning and convoying, and the integration of autonomous vehicles within VANETs. Research might explore how vehicles can communicate and collaborate effectively to optimize traffic flow, improve safety, and reduce congestion, paving the way for fully autonomous vehicular networks.
Keywords
Next-Generation V2X Communication, AI and Machine Learning in VANETs, Blockchain-Enabled VANETs, Edge Computing and IoT Integration, Safety and Security Protocols, Energy-Efficient Designs
Login
Register
Submit a Paper
Propose a Special lssue