Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 9
2750-2754

Data fusion algorithm based on abnormal data-preprocessing and adaptive estimation in WSN

Zheng Baozhou
Wu Lili
Li Fuqiang
Yuan Chao
College of Sciences, Henan Agricultural University, Zhengzhou 450002, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0345

Abstract

Aimed at the WSN's problems, such as limited node's energy, low precision of measurement and short effective lifetime of network, etc., this paper proposed a data fusion algorithm based on abnormal data preprocessing and adaptive estimation, ADAEWF. In order to improve the algorithm's reliability, this paper firstly proposed the data preprocessing mechanism based on abnormal data detection, simple majority principle and node's comprehensive support function. To reduce the measurement error's effect on the fusion precision, this paper proposed an adaptive estimation weighted data fusion algorithm. Then, this paper established the WSN's simulation model and obtained the mean square error and network's effective lifetime under ADAEWF, AFWDF and arithmetic mean value algorithm, respectively. Simulation shows that, in terms of both fusion accuracy and network's effective lifetime, ADAEWF outperforms AFWDF and arithmetic mean value algorithm, and ADAEWF algorithm has superiority in improving the effectiveness of data fusion, network lifetime and fusion accuracy.

Foundation Support

国家自然科学基金资助项目(61703146)
河南省科技攻关项目(172102210043)
河南省高等学校重点科研资助项目(15A510028)
河南农业大学科技创新基金项目(KJCX2015A17,KJCX2016A09)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0345
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: Technology of Network & Communication
Pages: 2750-2754
Serial Number: 1001-3695(2019)09-042-2750-05

Publish History

[2019-09-05] Printed Article

Cite This Article

郑宝周, 吴莉莉, 李富强, 等. 基于异常数据预处理和自适应估计的WSN数据融合算法 [J]. 计算机应用研究, 2019, 36 (9): 2750-2754. (Zheng Baozhou, Wu Lili, Li Fuqiang, et al. Data fusion algorithm based on abnormal data-preprocessing and adaptive estimation in WSN [J]. Application Research of Computers, 2019, 36 (9): 2750-2754. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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