Artikel in Zeitschrift ART-2009-27

Gauger, Matthias; Marrón, Pedro José; Kauker, Daniel; Rothermel, Kurt: Low Overhead Assignment of Symbolic Coordinates in Sensor Networks.
In: Telecommunication Systems. Vol. 40(3-4).
Universität Stuttgart : Sonderforschungsbereich SFB 627 (Nexus: Umgebungsmodelle für mobile kontextbezogene Systeme).
S. 117-128, englisch.
Springer, April 2009.
Artikel in Zeitschrift.
CR-Klassif.C.2.4 (Distributed Systems)

Approximate information on the location of nodes in a sensor network is essential to many types of sensor network applications and algorithms. In many cases, using symbolic coordinates is an attractive alternative to the use of geographic coordinates due to lower costs and lower requirements on the available location information during coordinate assignment. In this paper, we investigate different possible methods of assigning symbolic coordinates to sensor nodes. We present a method based on broadcasting coordinate messaging and filtering using sensor events. We show in the evaluation that this method allows a reliable assignment of symbolic coordinates while only generating a low overhead.

Volltext und
andere Links
PDF (164218 Bytes)
The original publication is available at
Copyright© Springer-Verlag 2009. This work is subject to copyright. All right are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitations, broadcastings, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German copyright Law of September 9, 1965, in its current version, and permission of use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law.
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
Projekt(e)SFB-627, A2 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme)
SFB-627, B3 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme)
Eingabedatum27. Mai 2010
   Publ. Abteilung   Publ. Institut   Publ. Informatik