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

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

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

DOI 10.1109/jiot.2024.3359297

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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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Authors: Sharma, M., Tomar, A., & Hazra, A.
Affiliations: Netaji Subhas University of Technology (IN)
Indian Institute of Information Technology Sri City (IN)
ORCID: Sharma, Megha
Tomar, Abhinav
Hazra, Abhishek
Venue: IEEE Internet of Things Journal
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2024-06-01
Volume: 11
Issue: 11
Pages: 19070-19093
ISSN: 2327-4662 (ISSN-L)
2372-2541
DOI: 10.1109/jiot.2024.3359297
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
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
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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Edge computing for Industry 5.0: fundamental, applications and research challenges

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