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Received signal strength quantization for secure indoor positioning via fingerprinting

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

Details

Original languageEnglish
Title of host publication2018 International Conference on Localization and GNSS (ICL-GNSS)
Subtitle of host publication26-28 June 2018, Guimaraes, Portugal.
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-5386-6984-6
DOIs
Publication statusPublished - 26 Jun 2018
Publication typeA4 Article in a conference publication
EventInternational Conference on Localization and GNSS -
Duration: 1 Jan 1900 → …

Publication series

Name
ISSN (Electronic)2325-0771

Conference

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

Abstract

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.

Keywords

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

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