Geometric Distance Estimation for Sensor Networks and Unit Disk Graphs

Authors Sándor Fekete, Alexander Kröller, Carsten Buschmann, Stefan Fischer



PDF
Thumbnail PDF

File

DagSemProc.06481.2.pdf
  • Filesize: 103 kB
  • 2 pages

Document Identifiers

Author Details

Sándor Fekete
Alexander Kröller
Carsten Buschmann
Stefan Fischer

Cite AsGet BibTex

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

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.

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail