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Comparison of Analytical and Measured Performance Results on Network Coding in IEEE 802.11 Ad-Hoc Networks

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Forfattere:
  • Zhao, Fang ;
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    Singapore-MIT Alliance for Research and Technology, Singapore
  • Médard, Muriel ;
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    Department of Electrical Engineering and Research Laboratory of Electronics, MIT
  • Hundebøll, Martin ;
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    Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University
  • Ledet-Pedersen, Jeppe ;
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    unknown
  • Rein, Stephan Alexander ;
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    Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University
  • Fitzek, Frank
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    Orcid logo0000-0002-0428-8473
    Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University
DOI:
10.1109/NETCOD.2012.6261882
Resumé:
Network coding is a promising technology that has been shown to improve throughput in wireless mesh networks. In this paper, we compare the analytical and experimental performance of COPE-style network coding in IEEE 802.11 ad-hoc networks. In the experiments, we use a lightweight scheme called CATWOMAN that can run on standard WiFi hardware. We present an analytical model to evaluate the performance of COPE in simple networks, and our results show the excellent predictive quality of this model. By closely examining the performance in two simple topologies, we observe that the coding gain results from the interaction between network coding and the MAC protocol, and the gap between the theoretical and practical gains is due to the different channel qualities of sending nodes. This understanding is helpful for design of larger mesh networks that use network coding.
ISBN:
9781467318907
Type:
Konference-paper
Sprog:
Engelsk
Udgivet i:
International Symposium on Network Coding (netcod), 2012, 2012, p. 43-48
Hovedforskningsområde:
Science/technology
Publikationsstatus:
Publiceret
Review type:
Peer Review
Konference:
The 2012 International Symposium on Network CodingInternational Symposium on Network Coding
Udgiver:
IEEE Press
Indberetningsår:
2012
Videnskabeligt niveau:
Videnskabelig
ID:
2186042598

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