Cited by 338IoT and Edge/Fog ComputingDigital Transformation in IndustryAdvanced Data and IoT Technologies

Edge computing for Industry 5.0: fundamental, applications and research challenges

Sharma, Megha, Tomar, Abhinav, Hazra, Abhishek·2024·IEEE Internet of Things Journal

Abstract

Industry 5.0 is the next stage in industrial evolution, collaborating between human ingenuity and intelligent technologies to provide manufacturing solutions. Integrating modern technology like Artificial Intelligence (AI), robotics, and the Internet of Things (IoT) into manufacturing and production processes characterizes Industry 5.0. On the other hand, edge computing provides real-time data processing and analysis at the networks edge, closer to the data source and a vital component of Industry 5.0. Edge computing enables Industry 5.0 to access and communicate information about their industrial sectors using more accessible, standard hardware and software resources. However, no recent survey papers have examined the importance of edge computing in Industry 5.0. This study aims to fill that gap by presenting a survey on the importance of edge computing in Industry 5.0 and discussing a variety of technologies that could be used to implement and support this new industrial paradigm. First, we outline an overview and fundamentals of edge computing in Industry 5.0 architecture. Then objectives of Industry 5.0 are summarized to address various research challenges, including privacy, human-robot co-working, sustainability, and robust networks. Afterwards, this paper provides an extensive overview of emerging technologies for Industry 5.0, such as collaborative robots, AI, Digital Twins, and many more. In addition, this survey highlights various open research challenges and potential solutions that should be addressed further to achieve Industry 5.0.

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Crossref · 10.1109/jiot.2024.3359297

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Authors
Sharma, M., Tomar, A., & Hazra, A.
Affiliations
  • Netaji Subhas University of Technology (IN)
  • Indian Institute of Information Technology Sri City (IN)
Venue
IEEE Internet of Things Journal
Published
2024-06-01
Volume
11
Issue
11
Pages
19070-19093
ISSN
  • 2327-4662 (ISSN-L)
  • 2372-2541
OpenAlex
W4392543840
Cited by
312
References
94
Citations by year
2026: 117 · 2025: 161 · 2024: 34
FWCI
51.94
Type
journal article
Language
en
Open access
closed
Locations
IEEE Internet of Things Journal (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
Keywords
edge computing, Industry 5.0, manufacturing industry, collaborative robots, digital twin, artificial intelligence in manufacturing, Internet of Things, privacy, sustainability, network robustness, real-time data processing

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