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Research on Location Technology Based on Mobile Reference Nodes

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Computational Intelligence and Intelligent Systems (ISICA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 874))

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Abstract

The localization process of sensor networks using mobile reference nodes is discussed in detail, and errors in each phase are analyzed. Whether the selection of reference node path is appropriate, whether the unknown nodes can finish localization in closely related monitoring area, the reference node moving distance, and the time and energy consumed, concerning the above problem this paper proposed a covering algorithm to set the location of the radio beacon in advance, and the path traversal of these points planning. Simulation results show that the proposed mechanism can make the mobile reference node traverse the whole monitoring area as much as possible and avoid the obstacles effectively.

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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 City, 341000, Jiangxi Province, China

    Xuefeng Yang, Lin Li & Yue Liu

Authors
  1. Xuefeng Yang
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  2. Lin Li
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  3. Yue Liu
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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., Li, L., Liu, Y. (2018). Research on Location Technology Based on Mobile Reference Nodes. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 874. Springer, Singapore. https://doi.org/10.1007/978-981-13-1651-7_50

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  • DOI: https://doi.org/10.1007/978-981-13-1651-7_50

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1650-0

  • Online ISBN: 978-981-13-1651-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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