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An Adaptive Multi-sensor Data Consistency Algorithm Based on Node Credibility

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1075))

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Abstract

By using the principle of sensor data consistency and combining the kalman filter algorithm with the bayesian algorithm, the accuracy of the algorithm is significantly improved under the condition of large data volume and complex system. An adaptive multi-sensor data consistency algorithm based on node credibility proposes the internal correlation between the sensor credibility and the data values it provides, and the final data fusion results are obtained by fusion of the optimized data through the sensor credibility. The advantages of this algorithm include: (1) the data is optimized by kalman filter, which reduces the influence of the data provided by the sensor with low reliability on the fusion result; (2) bayesian algorithm is adopted to calculate the correct probability of data values and the reliability of the sensor, which overcomes the inherent uncertainty of the sensor and improves the accuracy of data fusion. The results show that compared with the traditional data consistency algorithm, this algorithm can further improve the accuracy of fusion results and reduce the position error.

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Acknowledgement

This work is partly supported by The Project Supported by Science and Technology Project in Shaanxi Province of China (Program No.2019ZDLGY07-08). The International Science and Technology Cooperation Program of the Science and Technology Department of Shaanxi Province, China (Grant No.2018KW-049), and the National Natural Science Foundation of China (61702414), Natural Science Basic Research Program of Shaanxi (2018JQ6078).

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Authors and Affiliations

  1. School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, 710121, China

    Yanping Chen, Xiao Ma, Hong Xia & Zhongmin Wang

  2. Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi’an University of Posts and Telecommunications, Xi’an, 710121, China

    Yanping Chen, Hong Xia & Zhongmin Wang

  3. School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an, 710121, China

    Zhong Yv

Authors
  1. Yanping Chen
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  2. Xiao Ma
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  3. Hong Xia
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  4. Zhongmin Wang
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  5. Zhong Yv
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Corresponding author

Correspondence to Hong Xia .

Editor information

Editors and Affiliations

  1. The University of Aizu, Aizuwakamatsu, Japan

    Yong Liu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

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Chen, Y., Ma, X., Xia, H., Wang, Z., Yv, Z. (2020). An Adaptive Multi-sensor Data Consistency Algorithm Based on Node Credibility. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_108

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