Communication and Fog/Edge Computing Towards Intelligent Connected Vehicles (ICVs)

Submission Deadline: 30 November 2019

IEEE Access invites manuscript submissions in the area of Communication and Fog/Edge Computing Towards Intelligent Connected Vehicles (ICVs).

With rapid economic development, the number of vehicles on the road has grown dramatically, which introduces an array of traffic-related issues, such as traffic congestion and driving safety. Intelligent connected vehicles (ICVs) can provide a safer and greener transportation system, which has been envisioned as an effective measure to resolve traffic problems. ICVs are expected to run many emerging smart applications (e.g., autonomous driving, safety early warning, natural language processing, etc.) to assist both the drivers and passengers in vehicular environments. These kinds of applications typically require significant computing power to perform computation-intensive and latency-sensitive tasks generated by the vehicle sensors for low-latency response. However, the limited computation capacity of the on-board computer makes it difficult to satisfy the computation requirements of quality-of-experience (QoE)-demanding applications. To tackle this challenge, fog/edge computing are proposed as innovative computing paradigms to extend computing capacity to the network edge in order to meet the requirements. Fog/edge computing is expected to not only maximize the computation capability and alleviate the greenhouse effect, but also achieve sustainable operation by pushing rich computing and storage resources to the edge of the network.

The limited computation capacity of the on-board computer brings about an unprecedented challenge for the future development of ICVs. Fog/edge computing provides cloud computing capacity in close proximity to vehicles. Vehicles can migrate the computing to the edge of the network via vehicle to everything (V2X) communication. Processing can be completed at road-side unit (RSU) at the side of the network. The advancement of communication technologies and edge computing, such as Fifth-generation (5G), Software Defined Networking (SDN), Network Function Virtualization (NFV), mobile edge/fog computing and so on, makes it possible to enhance computational capabilities, ensure near-real-time responses and realize communication requirements with ultra-low latency and ultra-high reliability. The Special Section in IEEE Access aims to provide the latest research findings and solutions, in terms of communication and edge computing for ICVs.

The topics of interest include, but are not limited to:

  • New architecture and framework establishment based on fog/edge computing for ICVs
  • Advanced vehicular networks technologies, such as 5G vehicular networks, LTE-V and so on
  • Ultra-reliable and low-latency communications for ICVs
  • Resource allocation and management based on fog/edge computing for ICVs
  • Machine learning, deep learning for intelligent management and control
  • Joint analysis of communication and computing to improve performance in vehicular networks
  • Cross-layer optimization for fog/edge computing
  • Mobility modeling and management for ICVs
  • SDN and NFV technologies for vehicular networks
  • Security and privacy challenges

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.


Associate Editor:  Lei Shu, Nanjing Agricultural University, China / University of Lincoln, UK

Guest Editors:

  1. Junhui Zhao, East China Jiaotong University, China / Beijing Jiaotong University, China
  2. Yi Gong, Southern University of Science and Technology, China
  3. Changqing Luo, Virginia Commonwealth University, USA
  4. Tim Gordon, University of Lincoln, UK


Relevant IEEE Access Special Sections:

  1. Mobile Edge Computing and Mobile Cloud Computing: Addressing Heterogeneity and Energy Issues of Compute and Network Resources
  2. D2D communications: Security Issues and Resource Allocation
  3. Smart caching, communications, computing and cybersecurity for Information-Centric Internet of Things

IEEE Access Editor-in-Chief:
  Prof. Derek Abbott, University of Adelaide

Paper submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: