Energy efficient fog computing for 6G enabled massive IoT: Recent trends and future opportunities

Usman Mahmood Malik, Muhammad Awais Javed, Sherali Zeadally, Saif ul Islam

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

Fog computing is a promising technology that can provide storage and computational services to future 6G networks. To support the massive Internet of Things (IoT) applications in 6G, fog computing will play a vital role. IoT devices and fog nodes have energy limitations and hence, energy-efficient techniques are needed for storage and computation services. We present an overview of massive IoT and 6G enabling technologies. We discuss different energy-related challenges that arise while using fog computing in 6G enabled massive IoT. We categorize different energy-efficient fog computing solutions for IoT and describe the recent work done in these categories. Finally, we discuss future opportunities and open challenges in designing energy-efficient techniques for fog computing in the future 6G massive IoT network.

Original languageEnglish
JournalIEEE Internet of Things Journal
DOIs
StateAccepted/In press - 2021

Bibliographical note

Publisher Copyright:
IEEE

Keywords

  • 6G mobile communication
  • 6G.
  • Edge computing
  • Energy-efficiency
  • Internet of Things
  • Performance evaluation
  • Quality of service
  • Reliability
  • Task analysis
  • fog computing
  • massive IoT
  • offloading

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Energy efficient fog computing for 6G enabled massive IoT: Recent trends and future opportunities'. Together they form a unique fingerprint.

Cite this