Guest Editors
Prof. Chen Chen, Xidian University, China
Prof. He Li, Muroran Institute of Technology, Japan
Prof. Zheng Chang, University of Jyvaskyla, Netherland
Prof. Lei Liu, Xidian Guangzhou Institute of Technology, China
Summary
Being envisioned as the key enabler of intelligent transportation systems, vehicular networks have entered a new period of high development. Because of this trend, a multitude of vehicular applications are merging. These applications involve a plethora of diversified tasks, inevitably bringing huge pressure on network burden and execution time. Vehicular Edge Computing (VEC) is reviewed as a promising solution for dealing with these issues by moving the function of cloud to the edge of vehicular networks. However, because of the unique characteristics of vehicular networks, e.g., the high mobility of nodes, the intermittent connectivity, varying channel conditions and diverse user demands, it is quite challenging to provide real-time and efficient network and service management decisions. As a virtual representation of the real world, including physical objects, processes, relationships, and behaviors, digital twin can model the complex vehicular edge computing networks and enable the intelligent management decision-making. There is a natural advantage in the convergence of vehicular edge computing and digital twin. However, the research on the integration of vehicular edge computing and digital twin still is in its infancy state. The goal of this special issue is to solicit the latest research findings and novel contributions from both academic and industry researchers on linking vehicular edge computing and digital twin.
Keywords
1. Architecture and protocol design for the integration of VEC and digital twin
2. Digital twin empowered VEC
3. VEC empowered digital twin
4. Digital twin for network resource management in VEC
5. Incentive scheme design in the digital twin for VEC
6. Performance analysis and experimental measurement for digital twin empowered VEC
7. Security and privacy issues in digital twin empowered VEC
8. Implementation/Testbed/Deployment for digital twin empowered VEC
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