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An Indoor Localization Pre-Processing with Optimal Channel Selection Considering Channel Interference

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Convergence and Hybrid Information Technology (ICHIT 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 310))

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Abstract

Earlier indoor localization system studies were based on received signal strength indication (RSSI) between the reference node and the mobile node. But an RSSI-based indoor localization system detects huge differences depending on the measurement environment. Specifically, IEEE 802.15.4 (sensor network) networks typically operate in a 2.4 GHz ISM band, which is used by popular IEEE 802.11 (Wireless LAN) networks as well. An overlap between the channels used by IEEE 802.15.4 and IEEE 802.11 networks may adversely impact the operation of IEEE 802.15.4 since it is a low power protocol with a low channel width compared to the transmitted power levels and channel width used by IEEE 802.11. In this paper, pre-processing is proposed to improve the problem with RSSI-based indoor localization systems. Pre-processing is a new method for optimal channel selection in terms of the smallest distance deviation prior to creating an indoor localization system. The distance error in the mobile node was reduced by approximately 12% using pre-processing for an indoor localization system, which was verified experimentally.

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References

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Author information

Authors and Affiliations

  1. Division of Computer Science and Engineering, Hanyang University, Seoul, Korea

    Minchul Shin, Hyunjin Jeong & Inwhee Joe

Authors
  1. Minchul Shin
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  2. Hyunjin Jeong
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  3. Inwhee Joe
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Hannam University, 70 Hannamro, Daedeuk-gu, Daejeon, Korea

    Geuk Lee

  2. Computer Science and Information Systems, University of Limerick, Limerick, Ireland

    Daniel Howard

  3. University of Warsaw and Infobright Inc., Poland

    Dominik Ślęzak

  4. School of Information and Communication Engineering, Sang JI University, Wonju, Kangwon, Korea

    You Sik Hong

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© 2012 Springer-Verlag Berlin Heidelberg

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Shin, M., Jeong, H., Joe, I. (2012). An Indoor Localization Pre-Processing with Optimal Channel Selection Considering Channel Interference. In: Lee, G., Howard, D., Ślęzak, D., Hong, Y.S. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Communications in Computer and Information Science, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32692-9_11

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  • DOI: https://doi.org/10.1007/978-3-642-32692-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32691-2

  • Online ISBN: 978-3-642-32692-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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