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Offline Beacon Selection-Based RSSI Fingerprinting for Location-Aware Shopping Assistance: A Preliminary Result

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New Trends in Intelligent Information and Database Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 598))

Abstract

The location determination in an obstructed area can be extremely challenging particularly when the Global Positioning System (GPS) is blocked. When this happens, users will encounter difficulty in navigating directly on-site, especially within an indoor environment. Occasionally, there is a need to integrate with other sensors in order to establish the location with greater intelligence, reliability, and ubiquity. The use of positioning integration may be useful since it involves as many beacons as necessary to determine positioning. However, the implementation of the integration in the mobile devices platform may lead high computation which in turn could increase power consumption. In this paper, an offline beacon selection-based RSSI fingerprinting is proposed in order to lessen the computation task during the location determination process, as it may cause huge power consumption in mobile devices. By reducing the number of beacons that will be processed, the number of RSSI fingerprinting searches of the location in the spatial database also reduced. Lastly, the preliminary results are presented to illustrate the performance of an indoor environment set-up.

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Authors and Affiliations

  1. Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, 81310, Malaysia

    Wan Mohd Yaakob Wan Bejuri, Mohd Murtadha Mohamad & Raja Zahilah Raja Mohd Radzi

  2. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia, Melaka, 76100, Malaysia

    Wan Mohd Yaakob Wan Bejuri

Authors
  1. Wan Mohd Yaakob Wan Bejuri
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  2. Mohd Murtadha Mohamad
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  3. Raja Zahilah Raja Mohd Radzi
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Corresponding author

Correspondence to Wan Mohd Yaakob Wan Bejuri .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Dariusz Barbucha

  2. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  3. Graduate Program in Information Technology, Bina Nusantara University, Jakarta, Indonesia

    John Batubara

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Bejuri, W.M.Y.W., Mohamad, M.M., Radzi, R.Z.R.M. (2015). Offline Beacon Selection-Based RSSI Fingerprinting for Location-Aware Shopping Assistance: A Preliminary Result. In: Barbucha, D., Nguyen, N., Batubara, J. (eds) New Trends in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-319-16211-9_31

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  • DOI: https://doi.org/10.1007/978-3-319-16211-9_31

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16210-2

  • Online ISBN: 978-3-319-16211-9

  • eBook Packages: EngineeringEngineering (R0)

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