Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 1
246-250

Data reduction combination prediction method using XGBoost and weighted adaptive HFLMS in WSN

Yu Chenyun
Feng Xiwei
Liu Yang
Liaoning Shihua University, Fushun Liaoning 113001, China
DOI: 10.19734/j.issn.1001-3695.2019.11.0614

Abstract

Aiming at the limitation of various resources such as energy, bandwidth and memory in a wireless sensor network(WSN), this paper proposed a data reduction combination prediction method based on XGBoost and hierarchical fractional least-mean-square(HFLMS). Firstly, it used the XGBoost method to perform a second-order Taylor expansion of the loss function, which balanced the complexity of the model and the decline rate of the loss function, and achieved the stable prediction of the resource limit. Then, it employed the proposed HFLMS for data reduction in WSN, and used error estimation to predict the measured data, which would reduce the energy constraints in WSN. Finally, it used the two evaluation parameters(energy and prediction error) to evaluate the performance of the proposed prediction method. The experimental results demonstrate that the proposed prediction method is better than that without prediction, the approximate steepest descent algorithm and the layered minimum mean square filtering technology.

Foundation Support

辽宁省科技厅自然科学基金计划资助项目(20180550130)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.11.0614
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 1
Section: Technology of Network & Communication
Pages: 246-250
Serial Number: 1001-3695(2021)01-049-0246-05

Publish History

[2021-01-05] Printed Article

Cite This Article

于辰云, 冯锡炜, 刘旸. WSN中利用XGBoost和加权自适应HFLMS的数据约减组合预测方法 [J]. 计算机应用研究, 2021, 38 (1): 246-250. (Yu Chenyun, Feng Xiwei, Liu Yang. Data reduction combination prediction method using XGBoost and weighted adaptive HFLMS in WSN [J]. Application Research of Computers, 2021, 38 (1): 246-250. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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