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An LDPC Decoder Architecture for Wireless Sensor Network Applications
The pervasive use of wireless sensors in a growing spectrum of human activities reinforces the need for devices with low energy dissipation. In this work, coded communication between a couple of wireless sensor devices is considered as a method to reduce the dissipated energy per transmitted bit wit...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3304126/ https://www.ncbi.nlm.nih.gov/pubmed/22438724 http://dx.doi.org/10.3390/s120201529 |
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author | Giancarlo Biroli, Andrea Dario Martina, Maurizio Masera, Guido |
author_facet | Giancarlo Biroli, Andrea Dario Martina, Maurizio Masera, Guido |
author_sort | Giancarlo Biroli, Andrea Dario |
collection | PubMed |
description | The pervasive use of wireless sensors in a growing spectrum of human activities reinforces the need for devices with low energy dissipation. In this work, coded communication between a couple of wireless sensor devices is considered as a method to reduce the dissipated energy per transmitted bit with respect to uncoded communication. Different Low Density Parity Check (LDPC) codes are considered to this purpose and post layout results are shown for a low-area low-energy decoder, which offers percentage energy savings with respect to the uncoded solution in the range of 40%–80%, depending on considered environment, distance and bit error rate. |
format | Online Article Text |
id | pubmed-3304126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-33041262012-03-21 An LDPC Decoder Architecture for Wireless Sensor Network Applications Giancarlo Biroli, Andrea Dario Martina, Maurizio Masera, Guido Sensors (Basel) Article The pervasive use of wireless sensors in a growing spectrum of human activities reinforces the need for devices with low energy dissipation. In this work, coded communication between a couple of wireless sensor devices is considered as a method to reduce the dissipated energy per transmitted bit with respect to uncoded communication. Different Low Density Parity Check (LDPC) codes are considered to this purpose and post layout results are shown for a low-area low-energy decoder, which offers percentage energy savings with respect to the uncoded solution in the range of 40%–80%, depending on considered environment, distance and bit error rate. Molecular Diversity Preservation International (MDPI) 2012-02-06 /pmc/articles/PMC3304126/ /pubmed/22438724 http://dx.doi.org/10.3390/s120201529 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Giancarlo Biroli, Andrea Dario Martina, Maurizio Masera, Guido An LDPC Decoder Architecture for Wireless Sensor Network Applications |
title | An LDPC Decoder Architecture for Wireless Sensor Network Applications |
title_full | An LDPC Decoder Architecture for Wireless Sensor Network Applications |
title_fullStr | An LDPC Decoder Architecture for Wireless Sensor Network Applications |
title_full_unstemmed | An LDPC Decoder Architecture for Wireless Sensor Network Applications |
title_short | An LDPC Decoder Architecture for Wireless Sensor Network Applications |
title_sort | ldpc decoder architecture for wireless sensor network applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3304126/ https://www.ncbi.nlm.nih.gov/pubmed/22438724 http://dx.doi.org/10.3390/s120201529 |
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