An Adaptive Amplifier System for Wireless Sensor Network Applications

Autores
Lovay, Mónica Andrea; Peretti, Gabriela Marta; Romero, Eduardo Abel; Marques, Carlos Alberto
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents an adaptive amplifier that is part of a sensor node in a wireless sensor network. The system presents a target gain that has to be maintained without direct human intervention despite the presence of faults. In addition, its bandwidth must be as large as possible. The system is composed of a software-based built-in self-test scheme implemented in the node that checks all the available gains in the amplifiers, a reconfigurable amplifier, and a genetic algorithm (GA) for reconfiguring the node resources that runs on a host computer. We adopt a PSoC device from Cypress for the node implementation. The performance evaluation of the scheme presented is made by adopting four different types of fault models in the amplifier gains. The fault simulation results show that GA finds the target gain with low error, maintains the bandwidth above the minimum tolerable bandwidth, and presents a runtime lower than exhaustive search method.
Fil: Lovay, Mónica Andrea. Universidad Tecnologica Nacional. Facultad Regional Villa Maria; Argentina
Fil: Peretti, Gabriela Marta. Universidad Tecnologica Nacional. Facultad Regional Villa Maria; Argentina
Fil: Romero, Eduardo Abel. Universidad Tecnologica Nacional. Facultad Regional Villa Maria; Argentina
Fil: Marques, Carlos Alberto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina
Materia
Adaptive amplifier
Evolutive hardware
Genetic algorithm
Test
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/269616

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network_name_str CONICET Digital (CONICET)
spelling An Adaptive Amplifier System for Wireless Sensor Network ApplicationsLovay, Mónica AndreaPeretti, Gabriela MartaRomero, Eduardo AbelMarques, Carlos AlbertoAdaptive amplifierEvolutive hardwareGenetic algorithmTesthttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper presents an adaptive amplifier that is part of a sensor node in a wireless sensor network. The system presents a target gain that has to be maintained without direct human intervention despite the presence of faults. In addition, its bandwidth must be as large as possible. The system is composed of a software-based built-in self-test scheme implemented in the node that checks all the available gains in the amplifiers, a reconfigurable amplifier, and a genetic algorithm (GA) for reconfiguring the node resources that runs on a host computer. We adopt a PSoC device from Cypress for the node implementation. The performance evaluation of the scheme presented is made by adopting four different types of fault models in the amplifier gains. The fault simulation results show that GA finds the target gain with low error, maintains the bandwidth above the minimum tolerable bandwidth, and presents a runtime lower than exhaustive search method.Fil: Lovay, Mónica Andrea. Universidad Tecnologica Nacional. Facultad Regional Villa Maria; ArgentinaFil: Peretti, Gabriela Marta. Universidad Tecnologica Nacional. Facultad Regional Villa Maria; ArgentinaFil: Romero, Eduardo Abel. Universidad Tecnologica Nacional. Facultad Regional Villa Maria; ArgentinaFil: Marques, Carlos Alberto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; ArgentinaWiley2012-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/269616Lovay, Mónica Andrea; Peretti, Gabriela Marta; Romero, Eduardo Abel; Marques, Carlos Alberto; An Adaptive Amplifier System for Wireless Sensor Network Applications; Wiley; Journal of Electrical and Computer Engineering; 2012; 1; 6-2012; 1-72090-0155CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1155/2012/762927info:eu-repo/semantics/altIdentifier/doi/10.1155/2012/762927info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:44:06Zoai:ri.conicet.gov.ar:11336/269616instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:44:06.686CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An Adaptive Amplifier System for Wireless Sensor Network Applications
title An Adaptive Amplifier System for Wireless Sensor Network Applications
spellingShingle An Adaptive Amplifier System for Wireless Sensor Network Applications
Lovay, Mónica Andrea
Adaptive amplifier
Evolutive hardware
Genetic algorithm
Test
title_short An Adaptive Amplifier System for Wireless Sensor Network Applications
title_full An Adaptive Amplifier System for Wireless Sensor Network Applications
title_fullStr An Adaptive Amplifier System for Wireless Sensor Network Applications
title_full_unstemmed An Adaptive Amplifier System for Wireless Sensor Network Applications
title_sort An Adaptive Amplifier System for Wireless Sensor Network Applications
dc.creator.none.fl_str_mv Lovay, Mónica Andrea
Peretti, Gabriela Marta
Romero, Eduardo Abel
Marques, Carlos Alberto
author Lovay, Mónica Andrea
author_facet Lovay, Mónica Andrea
Peretti, Gabriela Marta
Romero, Eduardo Abel
Marques, Carlos Alberto
author_role author
author2 Peretti, Gabriela Marta
Romero, Eduardo Abel
Marques, Carlos Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv Adaptive amplifier
Evolutive hardware
Genetic algorithm
Test
topic Adaptive amplifier
Evolutive hardware
Genetic algorithm
Test
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper presents an adaptive amplifier that is part of a sensor node in a wireless sensor network. The system presents a target gain that has to be maintained without direct human intervention despite the presence of faults. In addition, its bandwidth must be as large as possible. The system is composed of a software-based built-in self-test scheme implemented in the node that checks all the available gains in the amplifiers, a reconfigurable amplifier, and a genetic algorithm (GA) for reconfiguring the node resources that runs on a host computer. We adopt a PSoC device from Cypress for the node implementation. The performance evaluation of the scheme presented is made by adopting four different types of fault models in the amplifier gains. The fault simulation results show that GA finds the target gain with low error, maintains the bandwidth above the minimum tolerable bandwidth, and presents a runtime lower than exhaustive search method.
Fil: Lovay, Mónica Andrea. Universidad Tecnologica Nacional. Facultad Regional Villa Maria; Argentina
Fil: Peretti, Gabriela Marta. Universidad Tecnologica Nacional. Facultad Regional Villa Maria; Argentina
Fil: Romero, Eduardo Abel. Universidad Tecnologica Nacional. Facultad Regional Villa Maria; Argentina
Fil: Marques, Carlos Alberto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina
description This paper presents an adaptive amplifier that is part of a sensor node in a wireless sensor network. The system presents a target gain that has to be maintained without direct human intervention despite the presence of faults. In addition, its bandwidth must be as large as possible. The system is composed of a software-based built-in self-test scheme implemented in the node that checks all the available gains in the amplifiers, a reconfigurable amplifier, and a genetic algorithm (GA) for reconfiguring the node resources that runs on a host computer. We adopt a PSoC device from Cypress for the node implementation. The performance evaluation of the scheme presented is made by adopting four different types of fault models in the amplifier gains. The fault simulation results show that GA finds the target gain with low error, maintains the bandwidth above the minimum tolerable bandwidth, and presents a runtime lower than exhaustive search method.
publishDate 2012
dc.date.none.fl_str_mv 2012-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/269616
Lovay, Mónica Andrea; Peretti, Gabriela Marta; Romero, Eduardo Abel; Marques, Carlos Alberto; An Adaptive Amplifier System for Wireless Sensor Network Applications; Wiley; Journal of Electrical and Computer Engineering; 2012; 1; 6-2012; 1-7
2090-0155
CONICET Digital
CONICET
url http://hdl.handle.net/11336/269616
identifier_str_mv Lovay, Mónica Andrea; Peretti, Gabriela Marta; Romero, Eduardo Abel; Marques, Carlos Alberto; An Adaptive Amplifier System for Wireless Sensor Network Applications; Wiley; Journal of Electrical and Computer Engineering; 2012; 1; 6-2012; 1-7
2090-0155
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1155/2012/762927
info:eu-repo/semantics/altIdentifier/doi/10.1155/2012/762927
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397