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Research on Localization Scheme of Wireless Sensor Networks Based on TDOA

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Computational Intelligence and Intelligent Systems (ISICA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 873))

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Abstract

This paper presents a localization scheme of wireless sensor networks, which makes use of TDOA positioning scheme based on extended Calman filter. Firstly, the measured TDOA value is used to locate the target, and then the estimated value of the target node obtained by the algorithm is filtered by the extended Calman observation. Taking four anchor nodes as an example, the simulation analysis is carried out. The proposed scheme does not require global synchronization among nodes, and can effectively reduce the additional hardware overhead of node design and reduce the power consumption and cost of nodes.

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Acknowledgement

This work was jointly supported by Natural Science Foundation of China (61773296), the Education Department of Jiangxi Province of China Science and Technology research projects with the Grant No. GJJ151433, GJJ161687, GJJ161688 and GJJ161691.

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Authors and Affiliations

  1. Jiangxi College of Applied Technology, Ganzhou, 341000, Jiangxi, China

    Xuefeng Yang, Junqi Ma & Yuting Lu

Authors
  1. Xuefeng Yang
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  2. Junqi Ma
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  3. Yuting Lu
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Corresponding author

Correspondence to Xuefeng Yang .

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Editors and Affiliations

  1. College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China

    Wei Li

  3. Chemical and Petroleum Engineering, University of Calgary, Calgary, Alberta, Canada

    Zhangxing Chen

  4. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

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Yang, X., Ma, J., Lu, Y. (2018). Research on Localization Scheme of Wireless Sensor Networks Based on TDOA. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 873. Springer, Singapore. https://doi.org/10.1007/978-981-13-1648-7_51

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  • DOI: https://doi.org/10.1007/978-981-13-1648-7_51

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1647-0

  • Online ISBN: 978-981-13-1648-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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