Key Advances in Pervasive Edge Computing for Industrial Internet of Things in 5G and Beyond

Arun Narayanan*, Arthur Sousa de Sena, Daniel Gutierrez-Rojas, Dick Carrillo Melgarejo, Hafiz Majid Hussain, Mehar Ullah, Suzan Bayhan, Pedro H.J. Nardelli

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
21 Downloads (Pure)

Abstract

This article surveys emerging technologies related to pervasive edge computing (PEC) for industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond communication networks. PEC encompasses all devices that are capable of performing computational tasks locally, including those at the edge of the core network (edge servers co-located with 5G base stations) and in the radio access network (sensors, actuators, etc.). The main advantages of this paradigm are core network offloading (and benefits therefrom) and low latency for delay-sensitive applications (e.g., automatic control). We have reviewed the state-of-the-art in the PEC paradigm and its applications to the IIoT domain, which have been enabled by the recent developments in 5G technology. We have classified and described three important research areas related to PEC—distributed artificial intelligence methods, energy efficiency, and cyber security. We have also identified the main open challenges that must be solved to have a scalable PEC-based IIoT network that operates efficiently under different conditions. By explaining the applications, challenges, and opportunities, our paper reinforces the perspective that the PEC paradigm is an extremely suitable and important deployment model for industrial communication networks, considering the modern trend toward private industrial 5G networks with local operations and flexible management.
Original languageEnglish
Article number9257390
Pages (from-to)206734-206754
Number of pages21
JournalIEEE Access
Volume8
Early online date16 Nov 2020
DOIs
Publication statusPublished - 25 Nov 2020

Keywords

  • Edge computing
  • Industrial Internet of Things
  • 5G network
  • Energy efficiency
  • Artificial intelligence
  • Cyber security

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