期刊
IEEE INTERNET OF THINGS JOURNAL
卷 5, 期 3, 页码 1657-1666出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2017.2785624
关键词
Computation intelligence; computing manner; data processing; Industrial Internet of Things (IIoT)
资金
- National Natural Science Foundation of China [61571240, 61671474]
- Jiangsu Science Fund for Excellent Young Scholars [BK20170089]
- ZTE Program The Prediction of Wireline Network Malfunction and Traffic Based on Big Data
- Priority Academic Program Development of Jiangsu Higher Education Institutions
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.
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