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Cited by 454

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Structural Health Monitoring Framework Based on Internet of Things: A Survey

Arcadius Tokognon, C., Gao, Bin, Tian, Gui Yun, Yan, Yan·2017·IEEE Internet of Things Journal

Abstract

Internet of Things (IoT) has recently received a great attention due to its potential and capacity to be integrated into any complex system. As a result of rapid development of sensing technologies such as radio-frequency identification, sensors and the convergence of information technologies such as wireless communication and Internet, IoT is emerging as an important technology for monitoring systems. This paper reviews and introduces a framework for structural health monitoring (SHM) using IoT technologies on intelligent and reliable monitoring. Specifically, technologies involved in IoT and SHM system implementation as well as data routing strategy in IoT environment are presented. As the amount of data generated by sensing devices are voluminous and faster than ever, big data solutions are introduced to deal with the complex and large amount of data collected from sensors installed on structures.

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Metadata

Authors
Arcadius Tokognon, C., Gao, B., Tian, G. Y., & Yan, Y.
Venue
IEEE Internet of Things Journal
Published
2017-06
Volume
4
Issue
3
Pages
619-635
ISSN
  • 2327-4662 (ISSN-L)
  • 2372-2541
OpenAlex
W2587696068
Cited by
454
References
5
FWCI
41.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Structural Health Monitoring Framework Based on Internet of Things: A Survey. https://app.cochat.ai/papers/10.1109/jiot.2017.2664072
The paper
Arcadius Tokognon, C., Gao, B., Tian, G. Y., & Yan, Y. (2017). Structural Health Monitoring Framework Based on Internet of Things: A Survey. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2017.2664072

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.