License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license (CC BY-NC-ND 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.KiVS.2011.194
URN: urn:nbn:de:0030-drops-29726
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2011/2972/
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Radeke, Rico ; Türk, Stefan

Node Degree based Improved Hop Count Weighted Centroid Localization Algorithm

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Abstract

Hop-count based weighted centroid localization is a simple and straightforward localization algorithm, which uses anchors with known positions and the hop count to these anchors to estimate the real position of nodes. Especially in sensor networks, where energy restrictions prevent more complex algorithms, this fast and simple algorithm can be used. Unfortunately the localization error of the algorithm can hinder the practical usage. In this paper we will improve the weighted centroid algorithm for hop count based localization by adding the node degree on the paths to the referenced anchors into the weights. After an analysis to obtain theoretically optimal coefficients we will show by means of simulation that for longer hop counts to the anchors and areas with different node degrees the proposed ND-WCL algorithm outperforms the known hop count based weighted centroid localization algorithm.

BibTeX - Entry

@InProceedings{radeke_et_al:OASIcs:2011:2972,
  author =	{Rico Radeke and Stefan T{\"u}rk},
  title =	{{Node Degree based Improved Hop Count Weighted Centroid Localization Algorithm}},
  booktitle =	{17th GI/ITG Conference on Communication in Distributed Systems (KiVS 2011) },
  pages =	{194--199},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-27-9},
  ISSN =	{2190-6807},
  year =	{2011},
  volume =	{17},
  editor =	{Norbert Luttenberger and Hagen Peters},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2011/2972},
  URN =		{urn:nbn:de:0030-drops-29726},
  doi =		{10.4230/OASIcs.KiVS.2011.194},
  annote =	{Keywords: Localization, Weighted Centroid}
}

Keywords: Localization, Weighted Centroid
Collection: 17th GI/ITG Conference on Communication in Distributed Systems (KiVS 2011)
Issue Date: 2011
Date of publication: 25.02.2011

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