Hand: Header-Assisted Network Decoding

Qiuyi Wang 1 Yang Xiao 1 Michel Kieffer 1 Cédric Adjih 2
1 Division Télécoms et Réseaux - L2S
L2S - Laboratoire des signaux et systèmes : 1289
2 TRiBE - inTeRnet BEyond the usual
Inria Saclay - Ile de France
Abstract : This paper considers the problem of data collection in a sensor network using network coding (NC). It proposes a decoding approach, called HAND, which does not require source packets to be supplemented with NC headers (with encoding vectors), classically used to decode the network-coded packets. HAND exploits the structure imposed by the communication protocol on the packet headers to estimate the original source packets from the received network-coded packets. Network-decoded packets are obtained as the solution of systems of linear equations. The decoding complexity is only one order of magnitude larger than that of classical network decoding.
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Conference papers
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https://hal-centralesupelec.archives-ouvertes.fr/hal-02163544
Contributor : Michel Kieffer <>
Submitted on : Monday, June 24, 2019 - 1:56:44 PM
Last modification on : Friday, February 21, 2020 - 2:55:37 PM

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CENTRALESUPELEC | CNRS | INRIA | SUP_LSS | L2S | UNIV-PARIS-SACLAY

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Qiuyi Wang, Yang Xiao, Michel Kieffer, Cédric Adjih. Hand: Header-Assisted Network Decoding. ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Canada. pp.3744-3748, ⟨10.1109/icassp.2018.8462564 ⟩. ⟨hal-02163544⟩

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