Special Issue: Advances in Green Communication Technologies for Future Generation Computing Systems

Theme and Scope

Over the last decade, information and communication technologies have attained enormous growth, and it may continue to rise exponentially in the coming years. In more precise terms, technology act as an enabling factor for communication, and it has the power to transform society. However, with increasing innovations, computing infrastructures and systems are rapidly growing, which makes them more complex and energy-constrained. The big data sources generated from a wide range of applications, including intelligent traffic control systems, military, healthcare, and smart cities, carry critical information that needs to be captured and processed at the right time for effective decision-making processes. Since a long time, the technique of wireless communication networks is being applied towards these applications, but it becomes inefficient and cost-expensive when dealing with a massive amount of big data sources.

Further, it is estimated that these networks contribute to an increased CO2 emissions rate, causing adverse impacts on the environment. These occurrences are especially true in the aspect of future generation computing systems. Consequently, a common solution to the concerns mentioned above includes the development of low-cost, low-power, environment-friendly, context-aware self-optimizing technologies for future generation computing systems.

Incorporating green communication strategies can potentially empower computing applications to make a real difference in the world of technology, enabling a better future for the digital generations to originate. The effective use of these techniques empowers energy efficiency and addresses environmental issues concerned with traditional information and communication technologies. In this context, green communication techniques enable numerous opportunities for next-generation modern computing systems. Further, it contributes to a significant economic value for the global economy and providing the basis for sustainable development.

This special issue provides a comprehensive platform for green communication in consideration of every aspect of the information and communication technology, including wired and wireless networks. It aims to explore various concepts and practices of green communication, addressing holistic approaches for future generation computing networks. Research submissions contributing to methods, tools, and algorithmic frameworks of green communication are most invited from a real-world perspective. 

  • Context-aware self-optimizing 6G networks for future generation computing systems
  • Energy efficient green communication technologies for data intensive applications
  • Enabling technologies for green communication from a future perspective
  • Analytical and network optimization models for energy efficient green communication techniques
  • Innovative architectures and network topologies for future generation computing systems
  • 6G enable energy efficient green communication network architectures for modern data centers
  • Green communication in cloud computing and fog/edge networks
  • Energy consumption models and metrics for green communication networks
  • Advances in green wireless networks for Internet of Things
  • Energy saving green communication wireless networks for mobile applications
  • Energy efficient green communication protocol design and architectures for future generation systems

Instructions for Manuscripts

Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including the references, illustrations and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines.The manuscript template can also be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline.

Prospective authors should submit an electronic copy of their complete manuscript through emails to Dr. Syed Hassan Shah

Emails: sh.ahmed@ieee.org, hassanshah@fullerton.edu


Important Dates

Submissions Deadline: 28 June 2022

First Reviews Due: 30 July 2022

Second Reviews Due: 13 September 2022

Revision Due: 14 November 2022

Notification of Final Decision: 15 January 2023

Tentative Publication: January 2024


Guest Editors

Dr. Syed Hassan Shah (Lead Guest Editor)

California State University, Fullerton, CA, USA.

Emails: sh.ahmed@ieee.org, hassanshah@fullerton.edu


Dr. Murad Khan

School of Computer Science and Engineering, Kyungpook National University, South Korea.



Dr. WaelGuibene

Infineon Technologies, USA.