Received signal strength quantization for secure indoor positioning via fingerprinting

P. Richter, Z. Yang, O. Tkachenko, H. Leppäkoski, K. Järvinen, T. Schneider, E. S. Lohan

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    2 Citations (Scopus)
    111 Downloads (Pure)


    The increasingly connected world magnifies the threats to users' location privacy. Encryption protocols offer solutions to privacy concerns, but they are computationally very demanding. A reduction of the bit-length of the Received Signal Strength (RSS) measurements is required for a realistic, privacy-preserving positioning system based on fingerprinting. This paper studies the practical design of quantizers for RSS fingerprinting data and analyses the effect of the quantization on the positioning performance, with several real data sets and positioning algorithms. Our results show that a 4 bit quantization of RSS yields the same positioning accuracy as with unquantized RSS and that 1 bit approaches (i.e. proximity based positioning) are also feasible for certain applications.
    Original languageEnglish
    Title of host publication2018 International Conference on Localization and GNSS (ICL-GNSS)
    Subtitle of host publication26-28 June 2018, Guimaraes, Portugal.
    Number of pages6
    ISBN (Electronic)978-1-5386-6984-6
    Publication statusPublished - 26 Jun 2018
    Publication typeA4 Article in conference proceedings
    EventInternational Conference on Localization and GNSS -
    Duration: 1 Jan 1900 → …

    Publication series

    ISSN (Electronic)2325-0771


    ConferenceInternational Conference on Localization and GNSS
    Period1/01/00 → …


    • received signal strength
    • Quantization (signal)
    • privacy-preserving
    • positioning
    • fingerprinting
    • localization

    Publication forum classification

    • Publication forum level 1


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