IoT reliability: a review leading to 5 key research directions
Open accessAbstract
The Internet of Things (IoT) is rapidly changing the way in which we engage with technology on a daily basis. The IoT paradigm enables low-resource devices to intercommunicate in a fully flexible and pervasive manner, and the data from these devices is used for decision-making in critical applications such as; traffic infrastructure, health-care and home security, to name but a few. Due to the scarce resources available in these IoT devices, being able to quantify the reliability of them is a critical function. This report presents a detailed evolution of the area of reliability measurement, followed by an in-depth review of the state-of-the-art for quantification of reliability in the IoT, revealing the many challenges associated with this task. From this in-depth review, a set of key research directions for IoT reliability is determined. Despite the critical nature of the research area, at this current moment, this study is the first detailed review available in the area of assessing IoT reliability.
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Data format incompatibility and the handling of big data introduce additional challenges to interoperability.
“Data format incompatibility and the handling of big data introduce additional challenges to interoperability [38], [42].”
From A Critical Overview of Industrial Internet of Things Security and Privacy Issues Using a Layer-Based Hacking Scenario (2023) · cites this paper as [38]
The Introduction (page unavailable) identifies interoperability as an IoT research challenge, and §4.2 describes disparate communication protocols. Neither passage links data-format incompatibility or big-data handling to interoperability challenges; searches for those terms found no such discussion. (LLM, conf=0.78)
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Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
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Sorted by citations
Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review
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“Insufficient anomaly detection techniques and data integrity checks further exacerbate reliability concerns [38].”
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- Authors
- Moore, S. J., Nugent, C. D., Zhang, S., & Cleland, I.
- Affiliations
- University of Ulster (GB)
- Corresponding author
- Moore, Samuel J.
- Venue
- CCF Transactions on Pervasive Computing and Interaction
- Published
- 2020-08-07
- Volume
- 2
- Issue
- 3
- Pages
- 147-163
- ISSN
- 2524-521X (ISSN-L)
- 2524-5228
- OpenAlex
- W3047998504
- Cited by
- 106
- References
- 61
- Citations by year
- 2026: 13 · 2025: 19 · 2024: 14 · 2023: 13 · 2022: 27 · 2021: 18 · 2020: 2
- FWCI
- 7.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- CCF Transactions on Pervasive Computing and Interaction (publishedVersion, cc-by)
- Funders
- British Telecommunications
- Invest Northern Ireland
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Physical Sciences › Computer Science › Software › Software Reliability and Analysis Research
- Keywords
- Internet of Things, reliability measurement, reliability quantification, resource-constrained devices, low-power devices, research directions, IoT applications
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