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Proceedings Paper

Network coding for wireless applications
Author(s): Desmond S. Lun; Ebad Ahmed; L. Reggie Brothers; James A. DeBardelaben; Michelle Effros; Tracey Ho; David Karger; Ralf Koetter; Anna Lee; Samuel J. MacMullan; Muriel Médard; Fang Zhao
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Paper Abstract

The advent of network coding promises to change many aspects of networking. Network coding moves away from the classical approach of networking, which treats networks as akin to physical transportation systems. We overview some of the main features of network coding that are most relevant to wireless networks. In particular, we discuss the fact that random distributed network coding is asymptotically optimal for wireless networks with and without packet erasures. These results are extremely general and allow packet loss correlation, such as may occur in fading wireless channels. The coded network lends itself, for multicast connections, to a cost optimization which not only outperforms traditional routing tree-based approaches, but also lends itself to a distributed implementation and to a dynamic implementation when changing conditions, such as mobility, arise. We illustrate the performance of such optimization methods for energy efficiency in wireless networks and propose some new directions for research in the area.

Paper Details

Date Published: 26 October 2005
PDF: 19 pages
Proc. SPIE 5986, Unmanned/Unattended Sensors and Sensor Networks II, 59860U (26 October 2005); doi: 10.1117/12.634898
Show Author Affiliations
Desmond S. Lun, Massachusetts Institute of Technology (United States)
Ebad Ahmed, Massachusetts Institute of Technology (United States)
L. Reggie Brothers, DARPA/ATO (United States)
James A. DeBardelaben, Johns Hopkins Univ. Applied Physics Lab. (United States)
Michelle Effros, California Institute of Technology (United States)
Tracey Ho, California Institute of Technology (United States)
David Karger, Massachusetts Institute of Technology (United States)
Ralf Koetter, Univ. of Illinois at Urbana-Champaign (United States)
Anna Lee, Massachusetts Institute of Technology (United States)
Samuel J. MacMullan, Lorenz Research Associates, Inc. (United States)
Muriel Médard, Massachusetts Institute of Technology (United States)
Fang Zhao, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5986:
Unmanned/Unattended Sensors and Sensor Networks II
Edward M. Carapezza, Editor(s)

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