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Cited by 472

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges

Li, Jian-Qiang, Yu, F. Richard, Deng, Genqiang, Luo, Chengwen, Ming, Zhong, Yan, Qiao·2017·IEEE Communications Surveys & Tutorials

Abstract

This paper provides an overview of the Industrial Internet with the emphasis on the architecture, enabling technologies, applications, and existing challenges. The Industrial Internet is enabled by recent rising sensing, communication, cloud computing, and big data analytic technologies, and has been receiving much attention in the industrial section due to its potential for smarter and more efficient industrial productions. With the merge of intelligent devices, intelligent systems, and intelligent decisioning with the latest information technologies, the Industrial Internet will enhance the productivity, reduce cost and wastes through the entire industrial economy. This paper starts by investigating the brief history of the Industrial Internet. We then present the 5C architecture that is widely adopted to characterize the Industrial Internet systems. Then, we investigate the enabling technologies of each layer that cover from industrial networking, industrial intelligent sensing, cloud computing, big data, smart control, and security management. This provides the foundations for those who are interested in understanding the essence and key enablers of the Industrial Internet. Moreover, we discuss the application domains that are gradually transformed by the Industrial Internet technologies, including energy, health care, manufacturing, public section, and transportation. Finally, we present the current technological challenges in developing Industrial Internet systems to illustrate open research questions that need to be addressed to fully realize the potential of future Industrial Internet systems.

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Metadata

Authors
Li, J.-Q., Yu, F. R., Deng, G., Luo, C., Ming, Z., & Yan, Q.
Venue
IEEE Communications Surveys & Tutorials
Published
2017
Volume
19
Issue
3
Pages
1504-1526
ISSN
1553-877X (ISSN-L)
OpenAlex
W2605181596
Cited by
472
References
4
FWCI
51.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges. https://app.cochat.ai/papers/10.1109/comst.2017.2691349
The paper
Li, J.-Q., Yu, F. R., Deng, G., Luo, C., Ming, Z., & Yan, Q. (2017). Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/comst.2017.2691349

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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.