Artikel in Tagungsband INPROC-2008-69

Bibliograph.
Daten
Schuhmann, Stephan; Herrmann, Klaus; Rothermel, Kurt; Blumenthal, Jan; Timmermann, Dirk: Improved Weighted Centroid Localization in Smart Ubiquitous Environments.
In: Proceedings of the Fifth International Conference on Ubiquitous Intelligence and Computing (UIC 2008), Oslo, Norway, June 23-25, 2008.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
Lecture Notes in Computer Science; 5061, S. 20-34, englisch.
Springer-Verlag, Juni 2008.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.C.2.1 (Network Architecture and Design)
C.2.4 (Distributed Systems)
KeywordsWeighted Centroid Localization; WLAN; Ubiquitous Computing
Kurzfassung

Location-awareness is highly relevant subject in ubiquitous computing, as many applications exploit location information to provide adequate services or adapt to a changing physical environment. While GPS provides reliable outdoor localization, indoor positioning systems present a bigger challenge. Many indoor localization systems have been proposed. However, most of them rely on customized hardware or presume some dedicated infrastructure. In this paper, we focus on WLAN-based localization in smart ubiquitous environments. We propose an improved scheme of the Weighted Centroid Localization (WCL) algorithm that is robust and provides higher location accuracy than the original WCL algorithm. The improvements are based on the use of dynamic weighting factors that are solely dependent on the correlation of the Received Signal Strength Indicators of the received beacon signals. Compared to the original WCL scheme, our approach does not increase requirements to the environment. Real-world experiments in a typical environment that we report on in this paper confirm that the increased location accuracy determined in previous calculations is reproducible in a realistic noisy environment. This provides a simple, cost-efficient, and battery-conserving, but yet adequate technique for getting the accurate location information of mobile devices.

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Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
Projekt(e)3PC
UBICONF
Eingabedatum14. Juli 2008
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