DagSemProc.06481.2.pdf
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Geometric Distance Estimation for Sensor Networks and Unit Disk Graphs
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Dagstuhl Seminar Proceedings, Volume 6481
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication date: 2007-06-01
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Sándor Fekete, Alexander Kröller, Carsten Buschmann, and Stefan Fischer. Geometric Distance Estimation for Sensor Networks and Unit Disk Graphs. In Geometric Networks and Metric Space Embeddings. Dagstuhl Seminar Proceedings, Volume 6481, pp. 1-2, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2007)
https://doi.org/10.4230/DagSemProc.06481.2
https://doi.org/10.4230/DagSemProc.06481.2
Abstract
We present an approach to estimating distances in sensor networks. It
works by counting common neighbors, high values indicating closeness.
Such distance estimates are needed in many self-localization
algorithms. Other than many other approaches, ours does not rely on
special equipment in the devices.
Keywords
- Sensor networks
- distance estimation
- unit disk graphs.
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