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Analysis of Indoor Positioning Based on BLE

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Advanced Topics in Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 710))

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Abstract

Indoor positioning systems based on BLE (Bluetooth Low Energy) beacon signal strength is studied. Student positioning in a classroom is a target application of this study. BLE is low energy consuming and one directional low energy consuming communications. A suggested layout of multiple BLE for deciding student positions is proposed and the experimental results based on the environment are analysed. The proposed position assumption method based on three signal strengths are useful for indoor positioning.

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Acknowledgements

This research was supported by the Leading Human Resource Training Program of the Regional Neo industry through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (216C000360). This work was also funded by the BK21 + program of the National Research Foundation of Korea (NRF).

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Authors and Affiliations

  1. Department of Computer Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk, 38541, Republic of Korea

    Wenjun Zhu, Shinheon Kim, Jaemin Hong & Chonggun Kim

Authors
  1. Wenjun Zhu
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  2. Shinheon Kim
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  3. Jaemin Hong
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  4. Chonggun Kim
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Corresponding author

Correspondence to Chonggun Kim .

Editor information

Editors and Affiliations

  1. Faculty of Computer Sci. and Management, Wroclaw Univ. of Science and Technology Faculty of Computer Sci. and Management, Wroclaw, Poland

    Dariusz Król

  2. Faculty of Computer Sci. and Management, Wroclaw Univ of Science and Technology Faculty of Computer Sci. and Management, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. School of Advanced Sci. and Technology, Japan Advanced Inst. of Sci. and Tech School of Advanced Sci. and Technology, Ishikawa, Japan

    Kiyoaki Shirai

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Zhu, W., Kim, S., Hong, J., Kim, C. (2017). Analysis of Indoor Positioning Based on BLE. In: Król, D., Nguyen, N., Shirai, K. (eds) Advanced Topics in Intelligent Information and Database Systems. ACIIDS 2017. Studies in Computational Intelligence, vol 710. Springer, Cham. https://doi.org/10.1007/978-3-319-56660-3_36

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  • DOI: https://doi.org/10.1007/978-3-319-56660-3_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56659-7

  • Online ISBN: 978-3-319-56660-3

  • eBook Packages: EngineeringEngineering (R0)

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