Privacy-Constrained Location Accuracy in CooperativeWearable Networks in Multi-Floor Buildings

Elena Simona Lohan, Viktoriia Shubina

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

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Abstract

This paper proposes a geometric dilution-of-precision approach to quantize the privacy-aware location errors in a cooperative wearable network with opportunistic positioning. The main hypothesis is that, a wearable inside a multi-floor building could localize itself based on cooperative pseudoranges measurements from nearby wearables, as long as the nearby wearables are heard above the sensitivity limit and as long as nearby wearables choose to disclose their own positions. A certain percentage of wearables, denoted by γ, is assumed to not want to disclose their positions in order to preserve their privacy. Our paper investigates the accuracy limits under the privacy constraints with variable γ and according to various building maps and received signal strength measurements extracted from real buildings. The data (wearable positions and corresponding power maps) are synthetically generated using a floor-and-wall path-loss model with statistical parameters extracted from real-field measurements. It is found that the network is tolerant to about 30% of the wearables not disclosing their position (i.e., opting for a full location-privacy mode).

Original languageEnglish
Title of host publicationProceedings of Work-in-Progress in Hardware and Software for Location Computation (WIPHAL 2023)
PublisherCEUR-WS
Publication statusPublished - 2023
Publication typeA4 Article in conference proceedings
EventWork-in-Progress in Hardware and Software for Location Computation - Castellon, Spain
Duration: 6 Jun 20238 Jun 2023

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS
Volume3434
ISSN (Electronic)1613-0073

Conference

ConferenceWork-in-Progress in Hardware and Software for Location Computation
Country/TerritorySpain
CityCastellon
Period6/06/238/06/23

Keywords

  • Geometric Dilution of Precision (GDOP)
  • indoor localization
  • location privacy
  • wearables

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • General Computer Science

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