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Software-Defined Industrial Internet of Things in the Context of Industry 4.0

IEEE Sensors Journal · 2016 · pp. 1–1
Jiafu WanShenglong TangZhaogang ShuDi LiShiyong WangMuhammad ImranAthanasios V. Vasilakos

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.

Digital Transformation in IndustrySoftware-Defined Networks and 5GIoT and Edge/Fog ComputingInternet of ThingsIndustrial InternetContext (archaeology)SoftwareComputer scienceIndustry 4.0The InternetSoftware engineeringWorld Wide WebEmbedded system

Funding

  • National Natural Science Foundation of China
Citations
675
FWCI
121.69
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References
34
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References
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IEEE Communications Magazine · 2013 · 987 citations
Improving network management with software defined networking
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