Aarhus Universitets segl

Qi Zhang

Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying

Publikation: KonferencebidragPaperForskning

Standard

Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying. / Heide, Janus; Zhang, Qi; Pedersen, Morten V. et al.

2011. Paper præsenteret ved IEEE 74th Vehicular Technology Conference, San Francisco, USA.

Publikation: KonferencebidragPaperForskning

Harvard

Heide, J, Zhang, Q, Pedersen, MV & Fitzek, FHP 2011, 'Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying', Paper fremlagt ved IEEE 74th Vehicular Technology Conference, San Francisco, USA, 05/09/2011 - 08/09/2011. <http://vbn.aau.dk/files/55734934/intrinsic.pdf>

APA

Heide, J., Zhang, Q., Pedersen, M. V., & Fitzek, F. H. P. (2011). Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying. Paper præsenteret ved IEEE 74th Vehicular Technology Conference, San Francisco, USA. http://vbn.aau.dk/files/55734934/intrinsic.pdf

CBE

Heide J, Zhang Q, Pedersen MV, Fitzek FHP. 2011. Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying. Paper præsenteret ved IEEE 74th Vehicular Technology Conference, San Francisco, USA.

MLA

Heide, Janus et al. Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying. IEEE 74th Vehicular Technology Conference, 05 sep. 2011, San Francisco, USA, Paper, 2011. 5 s.

Vancouver

Heide J, Zhang Q, Pedersen MV, Fitzek FHP. Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying. 2011. Paper præsenteret ved IEEE 74th Vehicular Technology Conference, San Francisco, USA.

Author

Heide, Janus ; Zhang, Qi ; Pedersen, Morten V. et al. / Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying. Paper præsenteret ved IEEE 74th Vehicular Technology Conference, San Francisco, USA.5 s.

Bibtex

@conference{a9f46a3fdc534109968f52bd4bd00238,
title = "Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying",
abstract = "This paper investigated the possibility of intrinsic information conveying in network coding systems. The information is embedded into the coding vector by constructing the vector based on a set of predefined rules. This information can subsequently be retrieved by any receiver. The starting point is RLNC (Random Linear Network Coding) and the goal is to reduce the amount of coding operations both at the coding and decoding node, and at the same time remove the need for dedicated signaling messages. In a traditional RLNC system, coding operation takes up significant computational resources and adds to the overall energy consumption, which is particular problematic for mobile battery-driven devices. In RLNC coding is performed over a FF (Finite Field). We propose to divide this field into sub fields, and let each sub field signify some information or state. In order to embed the information correctly the coding operations must be performed in a particular way, which we introduce. Finally we evaluate the suggested system and find that the amount of coding can be significantly reduced both at nodes that recode and decode. ",
author = "Janus Heide and Qi Zhang and Pedersen, {Morten V.} and Fitzek, {Frank H. P.}",
year = "2011",
language = "English",
note = "IEEE 74th Vehicular Technology Conference, VTC 2011-Fall ; Conference date: 05-09-2011 Through 08-09-2011",

}

RIS

TY - CONF

T1 - Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying

AU - Heide, Janus

AU - Zhang, Qi

AU - Pedersen, Morten V.

AU - Fitzek, Frank H. P.

N1 - Conference code: 74

PY - 2011

Y1 - 2011

N2 - This paper investigated the possibility of intrinsic information conveying in network coding systems. The information is embedded into the coding vector by constructing the vector based on a set of predefined rules. This information can subsequently be retrieved by any receiver. The starting point is RLNC (Random Linear Network Coding) and the goal is to reduce the amount of coding operations both at the coding and decoding node, and at the same time remove the need for dedicated signaling messages. In a traditional RLNC system, coding operation takes up significant computational resources and adds to the overall energy consumption, which is particular problematic for mobile battery-driven devices. In RLNC coding is performed over a FF (Finite Field). We propose to divide this field into sub fields, and let each sub field signify some information or state. In order to embed the information correctly the coding operations must be performed in a particular way, which we introduce. Finally we evaluate the suggested system and find that the amount of coding can be significantly reduced both at nodes that recode and decode.

AB - This paper investigated the possibility of intrinsic information conveying in network coding systems. The information is embedded into the coding vector by constructing the vector based on a set of predefined rules. This information can subsequently be retrieved by any receiver. The starting point is RLNC (Random Linear Network Coding) and the goal is to reduce the amount of coding operations both at the coding and decoding node, and at the same time remove the need for dedicated signaling messages. In a traditional RLNC system, coding operation takes up significant computational resources and adds to the overall energy consumption, which is particular problematic for mobile battery-driven devices. In RLNC coding is performed over a FF (Finite Field). We propose to divide this field into sub fields, and let each sub field signify some information or state. In order to embed the information correctly the coding operations must be performed in a particular way, which we introduce. Finally we evaluate the suggested system and find that the amount of coding can be significantly reduced both at nodes that recode and decode.

M3 - Paper

T2 - IEEE 74th Vehicular Technology Conference

Y2 - 5 September 2011 through 8 September 2011

ER -