Edge Computing Based Real-Time Streaming Data Mining Method for Wireless Sensor Networks

被引：0

作者：

Huang, Zhong-xing ^{[1
]}

Ren, Xiao-li ^{[2
]}

Zhou, Zai-ling ^{[1
]}

Zhu, He ^{[1
]}

Lin, Zhi-li ^{[1
]}

机构：

[1] Guangzhou Metro Design & Res Inst Co Ltd, Guangzhou 510000, Peoples R China

[2] Zhongye Design Co Ltd, Guangzhou 510000, Peoples R China

来源：

ADVANCED HYBRID INFORMATION PROCESSING, PT II | 2022年 / 417卷

关键词：

Edge computing; Wireless sensor network; Data mining; OPTIMIZATION;

D O I：

10.1007/978-3-030-94554-1_13

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Traditional data mining techniques are difficult to be directly applied to wireless sensor networks because of the multidimensional and multilayered characteristics of wireless sensor networks. Based on the theory of edge computing, the framework of distributed data mining workflow in wireless sensor networks is optimized, and the flow of distributed data mining in wireless sensor networks is demonstrated. Finally, the design requirements of data mining methods are realized.

引用

页码：144 / 155

页数：12

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