Artikel in Tagungsband INPROC-2008-122

Bibliograph.
Daten
Gauger, Matthias; Saukh, Olga; Handte, Marcus; Marrón, Pedro José; Heydlauff, Andreas; Rothermel, Kurt: Sensor-based Clustering for Indoor Applications.
In: Proceedings of the 5th IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2008).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 478-486, englisch.
IEEE Communications Society, Juni 2008.
ISBN: 978-1-4244-1777-3.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.C.2.4 (Distributed Systems)
Kurzfassung

The lifetime requirements on wireless sensor networks often require the redundant deployment of sensor nodes with appropriate management mechanisms based on node clustering. Yet, existing clustering approaches do not take the primary task of sensor networks into account: performing relevant measurements. They usually form 'arbitrary' clusters, e.g., using connectivity information, and thus, the resulting measurements are often of only limited use to the applications. This problem can be avoided by considering application-specific semantics. For indoor applications, the notion of a room provides a natural unit of clustering since walls are constructed deliberately to ensure locality. This paper shows that it is feasible to automatically create clusters that reflect boundaries between rooms by analyzing the measurements of inexpensive, broadly available sensors. The paper first analyzes the applicability of statistical clustering methods and based on this analysis, it proposes and evaluates a lightweight approach to determine clusters in real deployments.

Volltext und
andere Links
PDF (187142 Bytes)
The original publication is available at IEEE Xplore
CopyrightThis material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE (contact pubs-permissions@ieee.org). By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
Projekt(e)TinyCubus
Eingabedatum2. April 2009
   Publ. Abteilung   Publ. Institut   Publ. Informatik