4.7 Article

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

期刊

IEEE NETWORK
卷 33, 期 5, 页码 41-45

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.001.1800478

关键词

Energy consumption; Security; Data acquisition; Energy measurement; Internet of Things; Cloud computing; Manufacturing

资金

  1. National Key R&D Program of China [2017YFB0802300]
  2. Guangxi Key Laboratory of Trusted Software [kx201904]

向作者/读者索取更多资源

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 IIoT.

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