Information Centric Wireless Networking with Edge Computing for 5G and IoT

Submission Deadline:  15 March 2020

IEEE Access invites manuscript submissions in the area of Information Centric Wireless Networking with Edge Computing for 5G and IoT.

The advent of the Internet of Things (IoTs) and Fifth Generation (5G) high-speed communication networks is expected not only to make it necessary to rapidly increase the number of communication nodes and generate large amounts of data, but also to change the nature of the network to a more dynamic environment. However, the present network structure and operation method have various problems to be solved in order to cope with the aforementioned changes. Some issues, for example, are Transmission Control Protocol/Internet Protocol (TCP/IP)-based and end-to-end-based centralized and rigid network structure, the lack and allocation difficulties of IP addresses, increasing network traffic forwarding massive data to the cloud at remote locations for high capacity data processing, increasing delays in receiving effective analytic results from the remote cloud server, etc.

To address these issues, Information Centric Networking (ICN) technology is proposed to replace the current TCP/IP structure and present a flexible network structure in the IoT environment. Edge Computing technology is proposed to provide low-delay services by processing large amounts of data quickly in short proximity. Well-known related projects are Content Centric Networking (CCN) and Named Data Networking (NDN). While ICN has actively been studied, ICN for wireless networks has not been studied much. In addition, since ICN and Edge Computing have common functionalities such as caching, the two technologies may need to be co-located, and cooperate with each other. Integrating the technologies has not extensively been studied, and even less so for wireless environments.

Therefore, in this Special Section in IEEE Access, we invite researchers and experts to contribute original research articles as well as review articles about the research topics related to Information Centric Wireless Networking (ICWN). It adopts ICN technology for efficient and seamless wireless networks and Information Centric Wireless Edge Networking (ICWEN) technology, which integrates ICWN and EDGE computing technologies for the high reliability and low delay communication networks required by 5G LTE.

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

  • Architecture and protocols for adopting ICN technologies to distributed and centralized wireless networks
  • Network-wide architecture and node architecture for ICWN and ICWEN
  • Naming schemes for ICWN and ICWEN
  • Applications for ICWN and ICWEN
  • Caching schemes for ICWN and ICWEN
  • Performance evaluations in regard to: ICN vs. ICWN, ICN with Edge vs. ICN without Edge
  • Reliability, QoS support, Sustainability, Mobility support, Energy efficiency, Securities of ICWN and ICWEN
  • Interoperability of ICWN and ICWEN with other heterogeneous networks
  • Theoretical and experimental performance evaluations of ICWN and ICWEN
  • Analytic models for the behavior of ICWN and ICWEN, especially for scalability properties
  • Test-Bed implementation and measurement using CCNx, CCN-Lite, NDN
  • ICWN and ICWEN with IoT, 5G LTE, and Autonomous Driving, etc.


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


Associate Editor: Byung-Seo Kim, Hongik University, Korea

Guest Editors:

  1. Chi Zhang, University of Science and Technology of China, China
  2. Yuanxiong Guo, Oklahoma State University, USA
  3. Muhammad Khalil Afzal, COMSATS Institute of Information Technology, Pakistan
  4. Balazs Sonkoly, Budapest University of Technology and Economics (BME), Hungary


Relevant IEEE Access Special Sections:

  1. Fog Radio Access Networks (F-RANs) for 5G: Recent Advances and Future Trends
  2. Sustainable Infrastructures, Protocols, and Research Challenges for Fog Computing
  3. Smart Caching, Communications, Computing and Cybersecurity for Information-Centric Internet of Things

IEEE Access Editor-in-Chief:
Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: