When computation hugs intelligence: Content-aware data processing for industrial IoT
When computation hugs intelligence: Content-aware data processing for industrial IoT
复制标题
当计算拥抱智能时：工业物联网的内容感知数据处理
DOI：
10.1109/jiot.2017.2785624
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发表时间：
2017
影响因子：
10.6
通讯作者：
Zhenjiang Dong
中科院分区：
文献类型：
--
作者：
Liang Zhou;Dan Wu;Jianxin Chen;Zhenjiang Dong
数据服务被认为是工业物联网（IIoT）最显着的特征之一。本文研究如何为通用工业物联网系统设计最佳计算方式。在理论方面，我们通过研究捕获数据的内容相关性来分析数据处理与能耗之间的关系。重要的是，我们通过将计算与智能相结合，得出了工业物联网性能的精确表达式。在应用端，我们设计了一种通过近似不同计算方式的性能来获取阈值的有效方法，并展示了如何将其应用到实际的IIoT应用中。我们认为所提出的计算规则对于IIoT设计者具有重要意义，即当内容相关性较高时最好使用分布式计算方式，否则，集中式计算方式更好。
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.