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International Conference on Research in Networking

NETWORKING 2012: NETWORKING 2012 Workshops pp 126–132Cite as

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Estimation of Expectable Network Quality in Wireless Mesh Networks

Estimation of Expectable Network Quality in Wireless Mesh Networks

  • Till Wollenberg17 
  • Conference paper
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  • 1 Citations

Part of the Lecture Notes in Computer Science book series (LNCCN,volume 7291)

Abstract

Our work aims to improve the usability of wireless mesh networks as communication layer of smart office environments. While wireless mesh networks are well-suited for this task in general, the negative impact of interference, fading, and saturation makes the communication basically opportunistic. Our goal is to develop a system which allows a short-term estimation of network quality in terms of throughput, packet loss and latency. The estimation is based on channel measurements and detected high-level activities. With the estimated quality, we expect a significant improvement to user assistance and a speed-up of device integration. In this work-in-progress paper, we define the fundamental problem and its background and design a system that is suitable to solve the problem. We also present some preliminary results from ongoing experiments we carry out in a custom indoor test bed.

Keywords

  • wireless mesh network
  • network quality
  • prediction
  • smart environments

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Rostock, Germany

    Till Wollenberg

Authors
  1. Till Wollenberg
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Editor information

Editors and Affiliations

  1. Department of Telecommunications Engineering, Czech Technical University in Prague, Technicka 2, 166 27, Prague 6, Czech Republic

    Zdenek Becvar, Robert Bestak & Lukas Kencl,  & 

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© 2012 IFIP International Federation for Information Processing

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Cite this paper

Wollenberg, T. (2012). Estimation of Expectable Network Quality in Wireless Mesh Networks. In: Becvar, Z., Bestak, R., Kencl, L. (eds) NETWORKING 2012 Workshops. NETWORKING 2012. Lecture Notes in Computer Science, vol 7291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30039-4_16

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  • DOI: https://doi.org/10.1007/978-3-642-30039-4_16

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  • Print ISBN: 978-3-642-30038-7

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