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
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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Wu, X., Zhu, X., Wu, G.-Q., & Ding, W. (2014) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2013.109 · Cited by 2,410
Recent advances and trends in predictive manufacturing systems in big data environment
Lee, J., Lapira, E., Bagheri, B., & Kao, H.-A. (2013) · Manufacturing Letters · doi:10.1016/j.mfglet.2013.09.005 · Cited by 1,090
On the coverage of LPWANs: range evaluation and channel attenuation model for LoRa technology
Petajajarvi, J., Mikhaylov, K., Roivainen, A., Hanninen, T., & Pettissalo, M. (2015) · 2015 14th International Conference on ITS Telecommunications (ITST) · doi:10.1109/itst.2015.7377400 · Cited by 735
Sandboxing and Virtualization: Modern Tools for Combating Malware
Greamo, C., & Ghosh, A. (2011) · IEEE Security & Privacy Magazine · doi:10.1109/msp.2011.36 · Cited by 46
Cited by
Industry 5.0: A survey on enabling technologies and potential applications
Maddikunta, P. K. R., Pham, Q.-V., B, P., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., & Liyanage, M. (2022) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2021.100257 · Cited by 1,890
Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges
Qiu, T., Chi, J., Zhou, X., Ning, Z., Atiquzzaman, M., & Wu, D. O. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3009103 · Cited by 857
Kristoffersen, E., Blomsma, F., Mikalef, P., & Li, J. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.07.044 · Cited by 841
Self-citationWang, C., Liang, C., Yu, F. R., Chen, Q., & Tang, L. (2017) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2703901 · Cited by 710
Self-citationEnabling technologies for fog computing in healthcare IoT systems
Mutlag, A. A., Abd Ghani, M. K., Arunkumar, N., Mohammed, M. A., & Mohd, O. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2018.07.049 · Cited by 590
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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- 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).
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