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

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 consu...

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Bibliographic Details
Published in:IEEE internet of things journal 2018-06, Vol.5 (3), p.1657-1666
Main Authors: Zhou, Liang, Wu, Dan, Chen, Jianxin, Dong, Zhenjiang
Format: Article
Language:English
Subjects:
Computation intelligence
Computer networks
computing manner
Correlation
Data processing
Design
Distributed databases
Distributed processing
Electronic mail
Energy consumption
Industrial applications
Industrial Internet of Things (IIoT)
Intelligence
Internet of Things
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Summary: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.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2017.2785624