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Indoor Location and Orientation Determination for Wireless Personal Area Networks

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Mobile Entity Localization and Tracking in GPS-less Environnments (MELT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5801))

Abstract

This paper presents a Wireless Personal Area Network (WPAN) indoor location determination system that adapts to both dynamic physical environmental conditions and human movement changes in order to find estimated user locations and their orientation. This system has been realized using the Sun SPOT sensor platform. This research identifies the challenges when deploying indoor location determination systems based upon a combination of radio signal strength indication (RSSI) and accelerometer measurements of users’ mobile terminals. The experimental results show that users’ indoor locations can be estimated more precisely and with greater computational efficiency compared to current systems.

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Author information

Authors and Affiliations

  1. School of Electronic Engineering and Computer Science, Queen Mary, University of London, UK

    Zekeng Liang, Ioannis Barakos & Stefan Poslad

Authors
  1. Zekeng Liang
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  2. Ioannis Barakos
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  3. Stefan Poslad
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Editors and Affiliations

  1. 8531 Hickory Way, 95020-3305, Gilroy, CA, USA

    Richard Fuller

  2. EECS Department/ISIS, Vanderbilt University, 362 Jacobs Hall, 400 24th Avenue South, TN 37235, Nashville, USA

    Xenofon D. Koutsoukos

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© 2009 Springer-Verlag Berlin Heidelberg

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Liang, Z., Barakos, I., Poslad, S. (2009). Indoor Location and Orientation Determination for Wireless Personal Area Networks. In: Fuller, R., Koutsoukos, X.D. (eds) Mobile Entity Localization and Tracking in GPS-less Environnments. MELT 2009. Lecture Notes in Computer Science, vol 5801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04385-7_7

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  • DOI: https://doi.org/10.1007/978-3-642-04385-7_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04378-9

  • Online ISBN: 978-3-642-04385-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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