Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices

Darwin Quezada-Gaibor, Lucie Klus, Joaquiin Torres-Sospedra, Elena Simona Lohan, Jari Nurmi, Joaquin Huerta

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

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Abstract

IoT devices and wearables may rely on Wi-Fi finger-printing to estimate the position indoors. The limited resources of these devices make it necessary to provide adequate methods to reduce the operational computational load without degrading the positioning error. Thus, the aim of this article is to improve the positioning error and reduce the dimensionality of the radio map by using an enhanced DBSCAN. Moreover, we provide an additional analysis of combining DBSCAN + PCA analysis for further dimensionality reduction. Thereby, we implement a postprocessing method based on the correlation coefficient to join noisy samples to the formed clusters with Density-based Spatial Clustering of Applications with Noise (DBSCAN). As a result, the positioning error was reduced by 10% with respect to the plain DBSCAN, and the radio map dimensionality was reduced in both dimensions, samples and Access Points (APs).

Original languageEnglish
Title of host publication2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2020
PublisherIEEE
Pages208-213
Number of pages6
ISBN (Electronic)9781728192819
DOIs
Publication statusPublished - Oct 2020
Publication typeA4 Article in conference proceedings
EventInternational Congress on Ultra Modern Telecommunications and Control Systems and Workshops - Brno, Czech Republic
Duration: 5 Oct 20207 Oct 2020

Publication series

NameInternational Congress on Ultra Modern Telecommunications and Control Systems and Workshops
Volume2020-October
ISSN (Print)2157-0221
ISSN (Electronic)2157-023X

Conference

ConferenceInternational Congress on Ultra Modern Telecommunications and Control Systems and Workshops
Country/TerritoryCzech Republic
CityBrno
Period5/10/207/10/20

Keywords

  • Clustering
  • DBSCAN
  • PCA
  • RSS
  • Wi-Fi finger-printing

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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