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When Computation Hugs Intelligence: Content-Aware Data Processing for Industrial IoT

delete2018-06-01
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AI
L
Liang Zhou *
吴丹 封面图
吴丹 (Dan Wu)
J
Jianxin Chen
Z
Zhenjiang Dong
DOI:10.1109/JIOT.2017.2785624delete
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摘要

摘要

En 中文
Data service has been considered as one the most prominent characteristics for Industrial Internet of Things (IIoT). This paper studies how to design an optimal computing manner for a general IIoT system. On the theory end, we analyze the relationship between the data processing and the energy consumption through investigating the content correlation of the captured data. Importantly, we derive an exact expression for the performance of IIoT by combining computation with intelligence. On the application end, we design an efficient way to obtain a threshold by approximating the performances of different computing manners, and show how to apply it to practical IIoT applications. We believe that the proposed computation rules hold great significance for the IIoT designer, that is, it is better to use distributed computing manner when the content correlation is high, otherwise, centralized computing manner is better.
Keyword:
Computation intelligence
computing manner
data processing
Industrial Internet of Things (IIoT)
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期刊

IEEE Internet of Things Journal 封面图
IEEE Internet of Things Journal
IF:
8.9
论文数:
1.4W
被引数:
7.8W

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zte
学者数:
419
论文数: 412
被引数: 0
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