The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Software-Defined Industrial Internet of Things in the Context of Industry 4.0
Abstract
In recent years, there have been great advances in industrial Internet of Things (IIoT) and its related domains, such as industrial wireless networks (IWNs), big data, and cloud computing. These emerging technologies will bring great opportunities for promoting industrial upgrades and even allow the introduction of the fourth industrial revolution, namely, Industry 4.0. In the context of Industry 4.0, all kinds of intelligent equipment (e.g., industrial robots) supported by wired or wireless networks are widely adopted, and both real-time and delayed signals coexist. Therefore, based on the advancement of software-defined networks technology, we propose a new concept for industrial environments by introducing software-defined IIoT in order to make the network more flexible. In this paper, we analyze the IIoT architecture, including physical layer, IWNs, industrial cloud, and smart terminals, and describe the information interaction among different devices. Then, we propose a software-defined IIoT architecture to manage physical devices and provide an interface for information exchange. Subsequently, we discuss the prominent problems and possible solutions for software-defined IIoT. Finally, we select an intelligent manufacturing environment as an assessment test bed, and implement the basic experimental analysis. This paper will open a new research direction of IIoT and accelerate the implementation of Industry 4.0.
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Cites
A survey on software-defined network and openflow: From concept to implementation
Hu, F., Hao, Q., & Bao, K. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2326417 · Cited by 752
Emc: Emotion-aware mobile cloud computing in 5G
Chen, M., Zhang, Y., Li, Y., Mao, S., & Leung, V. C. M. (2015) · IEEE Network · doi:10.1109/mnet.2015.7064900 · Cited by 179
Cited by
Industry 4.0: A survey on technologies, applications and open research issues
Lu, Y. (2017) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2017.04.005 · Cited by 3,012
Industry 4.0, digitization, and opportunities for sustainability
Ghobakhloo, M. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119869 · Cited by 2,115
Wollschlaeger, M., Sauter, T., & Jasperneite, J. (2017) · IEEE Industrial Electronics Magazine · doi:10.1109/mie.2017.2649104 · Cited by 1,726
The future of manufacturing industry: a strategic roadmap toward Industry 4.0
Ghobakhloo, M. (2018) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-02-2018-0057 · Cited by 1,381
Blockchain for the future of sustainable supply chain management in Industry 4.0
Esmaeilian, B., Sarkis, J., Lewis, K., & Behdad, S. (2020) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2020.105064 · Cited by 855
Metadata
- Authors
- Wan, J., Tang, S., Shu, Z., Li, D., Wang, S., Imran, M., & Vasilakos, A.
- Venue
- IEEE Sensors Journal
- Published
- 2016
- Pages
- 1-1
- ISSN
- 1530-437X (ISSN-L)
- 1558-1748
- 2379-9153
- OpenAlex
- W2364839527
- Cited by
- 691
- References
- 2
- FWCI
- 90.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wan, J., Tang, S., Shu, Z., Li, D., Wang, S., Imran, M., & Vasilakos, A. (2016). Software-Defined Industrial Internet of Things in the Context of Industry 4.0. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2016.2565621
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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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