Serious Challenges and Potential Solutions for the Industrial Internet of Things with Edge Intelligence

The Industrial Internet of Things (IIoT) can improve manufacturing efficiency, enhance product quality, and reduce cost and pollution in industrial production, realizing intelligent industrialization. With the rise of big data, generated by intelligent terminals and then sent to the cloud platform i...

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Bibliographic Details
Published inIEEE network Vol. 33; no. 5; pp. 41 - 45
Main Authors Zhang, Yushu, Huang, Hui, Yang, Lu-Xing, Xiang, Yong, Li, Ming
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Cloud computing
Data acquisition
Energy consumption
Energy measurement
Industrial applications
Intelligence
Internet of Things
Manufacturing
Security
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Summary:The Industrial Internet of Things (IIoT) can improve manufacturing efficiency, enhance product quality, and reduce cost and pollution in industrial production, realizing intelligent industrialization. With the rise of big data, generated by intelligent terminals and then sent to the cloud platform in IIoT, some problems like high latency are emerging. Edge intelligence is a promising technology to address these problems by offering computing and storage resources at the edge of the network. However, IIoT with edge intelligence is still confronted by several significant challenges in data security and energy consumption. In this article, we state these challenges and also propose potential solutions in edge intelligent lloT.
ISSN:0890-8044
1558-156X
DOI:10.1109/MNET.001.1800478