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Why is fingerprint-based indoor localization still so hard?
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology. (Real-time Systems Laboratory)
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology. (Real-time Systems Laboratory)ORCID iD: 0000-0003-1916-3398
2014 (English)In: IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), IEEE Computer Society, 2014, 443-448 p.Conference paper (Refereed)
Abstract [en]

Wireless indoor localization systems and especially signal strength fingerprinting techniques have been the subject of significant research efforts in the last decades. However, most of the proposed solutions require a costly site-survey to build the radio map which can be used to match radio signatures with specific locations. We investigate a novel indoor localization system that addresses the data collection problem by progressively and semi-autonomously creating a radio-map with limited interaction cost. Moreover, we investigate how spatiotemporal and hardware properties-based variations can affect the RSSI values collected and significantly influence the resulting localization. We show the impact of these fluctuations on our system and discuss possible mitigations.

Place, publisher, year, edition, pages
IEEE Computer Society, 2014. 443-448 p.
National Category
Computer Science
URN: urn:nbn:se:liu:diva-108326DOI: 10.1109/PerComW.2014.6815247ISI: 000341402900091ScopusID: 2-s2.0-84901368208ISBN: 978-1-4799-2736-4OAI: diva2:729880
The Sixth International Workshop on Information Quality and Quality of Service for Pervasive Computing, 24-28 March 2014, Budapest, Hungary
Available from: 2014-06-26 Created: 2014-06-26 Last updated: 2015-04-09Bibliographically approved

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Asplund, Mikael
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