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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...

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Detalles Bibliográficos
Autores principales: Giancarlo Biroli, Andrea Dario, Martina, Maurizio, Masera, Guido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
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.
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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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