A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric

Progressive Edge Growth (PEG) constructions are usually based on optimizing the distance metric by using various methods. In this work however, the distance metric is replaced by a different one, namely the betweenness centrality metric, which was shown to enhance routing performance in wireless m...

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Main Authors: BHURTAH-SEEWOOSUNGKUR, I., CATHERINE, P. C., SOYJAUDAH, K. M. S.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2016-05-01
Series:Advances in Electrical and Computer Engineering
Subjects:
Online Access:http://dx.doi.org/10.4316/AECE.2016.02012
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spelling doaj-00f54a57f91f48bfb05fe63c2ebc051d2020-11-25T02:02:32ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002016-05-01162859210.4316/AECE.2016.02012A PEG Construction of LDPC Codes Based on the Betweenness Centrality MetricBHURTAH-SEEWOOSUNGKUR, I.CATHERINE, P. C.SOYJAUDAH, K. M. S.Progressive Edge Growth (PEG) constructions are usually based on optimizing the distance metric by using various methods. In this work however, the distance metric is replaced by a different one, namely the betweenness centrality metric, which was shown to enhance routing performance in wireless mesh networks. A new type of PEG construction for Low-Density Parity-Check (LDPC) codes is introduced based on the betweenness centrality metric borrowed from social networks terminology given that the bipartite graph describing the LDPC is analogous to a network of nodes. The algorithm is very efficient in filling edges on the bipartite graph by adding its connections in an edge-by-edge manner. The smallest graph size the new code could construct surpasses those obtained from a modified PEG algorithm - the RandPEG algorithm. To the best of the authors' knowledge, this paper produces the best regular LDPC column-weight two graphs. In addition, the technique proves to be competitive in terms of error-correcting performance. When compared to MacKay, PEG and other recent modified-PEG codes, the algorithm gives better performance over high SNR due to its particular edge and local graph properties.http://dx.doi.org/10.4316/AECE.2016.02012AWGN channelsblock codeschannel codingerror correction codesparity check codes
collection DOAJ
language English
format Article
sources DOAJ
author BHURTAH-SEEWOOSUNGKUR, I.
CATHERINE, P. C.
SOYJAUDAH, K. M. S.
spellingShingle BHURTAH-SEEWOOSUNGKUR, I.
CATHERINE, P. C.
SOYJAUDAH, K. M. S.
A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric
Advances in Electrical and Computer Engineering
AWGN channels
block codes
channel coding
error correction codes
parity check codes
author_facet BHURTAH-SEEWOOSUNGKUR, I.
CATHERINE, P. C.
SOYJAUDAH, K. M. S.
author_sort BHURTAH-SEEWOOSUNGKUR, I.
title A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric
title_short A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric
title_full A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric
title_fullStr A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric
title_full_unstemmed A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric
title_sort peg construction of ldpc codes based on the betweenness centrality metric
publisher Stefan cel Mare University of Suceava
series Advances in Electrical and Computer Engineering
issn 1582-7445
1844-7600
publishDate 2016-05-01
description Progressive Edge Growth (PEG) constructions are usually based on optimizing the distance metric by using various methods. In this work however, the distance metric is replaced by a different one, namely the betweenness centrality metric, which was shown to enhance routing performance in wireless mesh networks. A new type of PEG construction for Low-Density Parity-Check (LDPC) codes is introduced based on the betweenness centrality metric borrowed from social networks terminology given that the bipartite graph describing the LDPC is analogous to a network of nodes. The algorithm is very efficient in filling edges on the bipartite graph by adding its connections in an edge-by-edge manner. The smallest graph size the new code could construct surpasses those obtained from a modified PEG algorithm - the RandPEG algorithm. To the best of the authors' knowledge, this paper produces the best regular LDPC column-weight two graphs. In addition, the technique proves to be competitive in terms of error-correcting performance. When compared to MacKay, PEG and other recent modified-PEG codes, the algorithm gives better performance over high SNR due to its particular edge and local graph properties.
topic AWGN channels
block codes
channel coding
error correction codes
parity check codes
url http://dx.doi.org/10.4316/AECE.2016.02012
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