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Application of Probabilistic Reasoning Algorithm in Indoor Positioning Based on WLAN

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Book cover Advancements in Smart City and Intelligent Building (ICSCIB 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 890 ))

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Abstract

To improve the efficiency of resource utilization of large public buildings, indoor positioning and navigation is more and more possible in recent years. But the navigation accuracy is poor because of the complex environment in the buildings and the failure to use the satellite navigation signal. To solve this problem, a navigation and integrated information system is designed and developed by using the existed wireless network signals. A position fingerprint location method is adopted in order to ensure the finite complexity of the algorithm. A weighted K-nearest neighbor algorithm based on probabilistic reasoning is proposed to meet the requirements of navigation precision. This system will be widely used in large public buildings such as market, museum, library, and transport hubs.

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Author information

Authors and Affiliations

  1. Control and Mechanical Engineering College, Tianjin Chengjian University, Tianjin, 300384, China

    Meng Li

  2. Power China Construction Group Ltd, Beijing, 100011, China

    Honglin Wang

Authors
  1. Meng Li
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  2. Honglin Wang
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Corresponding author

Correspondence to Meng Li .

Editor information

Editors and Affiliations

  1. Anhui Jianzhu University, Hefei, China

    Qiansheng Fang

  2. University of the West of England, Bristol, UK

    Quanmin Zhu

  3. Shenyang Jianzhu University, Shenyang, China

    Feng Qiao

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Li, M., Wang, H. (2019). Application of Probabilistic Reasoning Algorithm in Indoor Positioning Based on WLAN. In: Fang, Q., Zhu, Q., Qiao, F. (eds) Advancements in Smart City and Intelligent Building. ICSCIB 2018. Advances in Intelligent Systems and Computing, vol 890 . Springer, Singapore. https://doi.org/10.1007/978-981-13-6733-5_9

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  • DOI: https://doi.org/10.1007/978-981-13-6733-5_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6732-8

  • Online ISBN: 978-981-13-6733-5

  • eBook Packages: EngineeringEngineering (R0)

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