A Survey on Internet of Things (IoT), Industrial IoT (IIoT) and Industry 4.0
Open accessAbstract
Internet of Things (IoT) is one of the emerging technologies comprises of 'things' capable of identifying, sensing, communicating, processing, and actuating the data gathered from the environment.IoT plays an important role in various sectors including healthcare, medical, education, smart cities, and also it contributes in developing smart industries as part of the industrial revolution 'Industry 4.0' with the use of Industrial Internet of Things (IIoT) technology.This paper provides an in-detail overview of IoT with its functioning, architecture, applications, middleware framework, protocols, and its integration with other key enabling technologies.This paper also provides an overview of the industrial revolutionindustry 1.0 to 4.0 and the Industrial Internet of Things (IIoT) with its applications, architecture, and messaging protocols.Finally, paper covers research challenges in IoT and IIoT.
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The heterogeneity of devices and data formats conveyed via IIoT networks raises the possibility of data parsing mistakes in the processing layer, which could result in inaccurate processing results.
“The heterogeneity of devices and data formats conveyed via IIoT networks raises the possibility of data parsing mistakes in the processing layer, which could result in inaccurate processing results [39].”
From A Critical Overview of Industrial Internet of Things Security and Privacy Issues Using a Layer-Based Hacking Scenario (2023) · cites this paper as [39]
Section 6.3 says heterogeneity makes IoT data management, processing, and analysis complex, and section 3.2.2 describes a processing layer. Neither passage says that differing data formats cause parsing mistakes or inaccurate processing results in IIoT networks. (LLM, conf=0.83)
Experimental — accuracy not yet measuredInsufficient anomaly detection techniques and data integrity checks further exacerbate reliability concerns.
“Insufficient anomaly detection techniques and data integrity checks further exacerbate reliability concerns [39].”
From A Critical Overview of Industrial Internet of Things Security and Privacy Issues Using a Layer-Based Hacking Scenario (2023) · cites this paper as [39]
Section 6.4 identifies security and data privacy as IoT challenges, and Section 6.3 discusses difficulties in data management. Neither addresses insufficient anomaly detection techniques or data integrity checks as causes of reliability concerns. Searches for those specific mechanisms found no supporting passage; page numbers were not available in our copy. (LLM, conf=0.74)
Experimental — accuracy not yet measured
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Cited by
Sorted by citations
Eyeleko, A. H., & Feng, T. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3308195 · Cited by 38 · see citing works
“The increased volume of data could overwhelm the processing layer, causing bottlenecks that hinder real-time analysis and response and lower system reliability [39].”
Background
- Authors
- Deshpande, S. N., & Jogdand, R. M.
- Affiliations
- KLS Gogte Institute of Technology (IN)
- Venue
- International Journal of Computer Applications
- Publisher
- Foundation of Computer Science
- Published
- 2020-10-15
- Volume
- 175
- Issue
- 27
- Pages
- 20-27
- ISSN
- 0975-8887 (ISSN-L)
- OpenAlex
- W4256679626
- Cited by
- 16
- References
- 33
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 3 · 2023: 3
- FWCI
- 0.48
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- International Journal of Computer Applications (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- Internet of Things, Industrial Internet of Things, Industry 4.0, IoT architecture, middleware framework, IoT protocols, messaging protocols, smart industry, enabling technologies, research challenges
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