Research Article
Edge Computing Based Real-Time Streaming Data Mining Method for Wireless Sensor Networks
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@INPROCEEDINGS{10.1007/978-3-030-94554-1_13, author={Zhong-xing Huang and Xiao-li Ren and Zai-ling Zhou and He Zhu and Zhi-li Lin}, title={Edge Computing Based Real-Time Streaming Data Mining Method for Wireless Sensor Networks}, proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2022}, month={1}, keywords={Edge computing Wireless sensor network Data mining}, doi={10.1007/978-3-030-94554-1_13} }- Zhong-xing Huang
Xiao-li Ren
Zai-ling Zhou
He Zhu
Zhi-li Lin
Year: 2022
Edge Computing Based Real-Time Streaming Data Mining Method for Wireless Sensor Networks
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-94554-1_13
Abstract
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.
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