Industrial Internet of Things: Requirements, Architecture, Challenges, and Future Research Directions

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dc.authoridHabbal, Adib/0000-0002-3939-2609
dc.authoridAlabadi, Montdher/0000-0001-7466-6575
dc.contributor.authorAlabadi, Montdher
dc.contributor.authorHabbal, Adib
dc.contributor.authorWei, Xian
dc.date.accessioned2024-09-29T16:03:27Z
dc.date.available2024-09-29T16:03:27Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIndustry 4.0 relates to the digital revolution of manufacturing and other sectors, such as retail, distribution, oil and gas, and infrastructure. Meanwhile, the Industrial Internet of Things (IIoT) is a technological advancement that leads to Industry 4.0 implementation by boosting the manufacturing sector's productivity and economic impact. IIoT provides the ability to provide global connectivity between components in different locations. The manufacturing sector has had various difficulties implementing IIoT, primarily due to IIoT characteristics. This paper offers an in-depth review of Industry 4.0 and IIoT, where the primary motivation behind this is to introduce the most recent advancements related to Industry 4.0 and IIoT, as well as to address the existing limitations. Firstly, this paper presents a novel taxonomy of IIoT challenges that includes aspects of each challenge, such as the terminology and approaches utilized to solve these challenges. Besides IIoT challenges, this survey provides an in-depth demonstration of the many concepts related to IIoT, such as architecture and use cases. Secondly, this paper provides a comprehensive review of the state-of-the-art of Industry 4.0 in terms of concepts, requirements, and supporting technology. In addition, the correlation between enabling technology and technical requirements is discussed in detail. Finally, this paper highlights deep learning, edge computing, and big data as key techniques for the future directions of IIoT. Furthermore, the presented techniques are thoroughly examined to present an alternative method for future adoption. In addition to the showcased techniques, a new architecture for the future of IIoT based on these three primary techniques is also proposed.en_US
dc.description.sponsorshipNational Science Found for Young Scholars [61806186]; Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China [2021ZZ120]en_US
dc.description.sponsorshipThis work was supported in part by the National Science Found for Young Scholars under Grant 61806186, and in part by the Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China under Grant 2021ZZ120.en_US
dc.identifier.doi10.1109/ACCESS.2022.3185049
dc.identifier.endpage66400en_US
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85133685013en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage66374en_US
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2022.3185049
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6098
dc.identifier.volume10en_US
dc.identifier.wosWOS:000818793600001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Accessen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectIndustrial Internet of Thingsen_US
dc.subjectFourth Industrial Revolutionen_US
dc.subjectComputer architectureen_US
dc.subjectBig Dataen_US
dc.subjectDeep learningen_US
dc.subjectCollaborative worken_US
dc.subjectWireless sensor networksen_US
dc.subjectIndustry 4en_US
dc.subject0en_US
dc.subjectIIoTen_US
dc.subjectdeep learningen_US
dc.subjectedge computingen_US
dc.titleIndustrial Internet of Things: Requirements, Architecture, Challenges, and Future Research Directionsen_US
dc.typeArticleen_US

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