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International Conference on Computer Engineering and Networks

CENet2018 2018: The 8th International Conference on Computer Engineering and Networks (CENet2018) pp 77–87Cite as

Research on Reconstruction Method of Random Missing Sensor Data Based on Fuzzy Logic Theory

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 905))

Abstract

Wireless sensor nodes are often deployed in the wild environment, and the data collected are often lost. It is very important to reconstruct the missing data for accurate scientific calculation or other applications. In this study, a random missing data reconstruction method based on fuzzy logic theory is presented. The method mainly studies how to combine the Euclidean distance between the sensor nodes and the correlation of the sensory data to construct a new method of determining neighbor nodes, while the weight calculation method of each neighbor node participating in reconstruction is studied, which is to solve the deficiencies of the neighbor node selection when there are obstacles between sensor nodes only rely on the Euclidean distance. The experimental results show that the accuracy of the proposed method is relatively high when the sensor data has a mutation or the acquisition time interval is large.

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Acknowledgement

This study is supported by the Natural Science Foundation of Hubei Province of China (Program No. 2016CKB705).

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Authors and Affiliations

  1. College of Informatics, Huazhong Agricultural University, Wuhan, China

    Liang Zhao & Kai Liu

Authors
  1. Liang Zhao
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  2. Kai Liu
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Corresponding author

Correspondence to Liang Zhao .

Editor information

Editors and Affiliations

  1. School of Computing, Edinburgh Napier University, Edinburgh, UK

    Qi Liu

  2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Mustafa Mısır

  3. School of Computer, Fudan University, Shanghai, China

    Xin Wang

  4. College of Information Science and Technology/College of Cyber Security, Jinan University, Guangzhou, China

    Weiping Liu

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Zhao, L., Liu, K. (2020). Research on Reconstruction Method of Random Missing Sensor Data Based on Fuzzy Logic Theory. In: Liu, Q., Mısır, M., Wang, X., Liu, W. (eds) The 8th International Conference on Computer Engineering and Networks (CENet2018). CENet2018 2018. Advances in Intelligent Systems and Computing, vol 905. Springer, Cham. https://doi.org/10.1007/978-3-030-14680-1_10

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