Adaptive amplifier system for sensor network applications

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 despite the presence of faults while its bandwidth must be as large as possible, without direct human intervention. The system is composed...

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Detalles Bibliográficos
Autores principales:	Lovay, Mónica, Peretti, Gabriela, Romero, Eduardo, Marqués, Carlos
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2011
Materias:	Ciencias Informáticas Evolvable hardware software-based built-in self-test genetic algorithm adaptive amplifier system
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/125336
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-125336
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Evolvable hardware software-based built-in self-test genetic algorithm adaptive amplifier system
spellingShingle	Ciencias Informáticas Evolvable hardware software-based built-in self-test genetic algorithm adaptive amplifier system Lovay, Mónica Peretti, Gabriela Romero, Eduardo Marqués, Carlos Adaptive amplifier system for sensor network applications
topic_facet	Ciencias Informáticas Evolvable hardware software-based built-in self-test genetic algorithm adaptive amplifier system
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 despite the presence of faults while its bandwidth must be as large as possible, without direct human intervention. The system is composed by 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 by a genetic algorithm (GA) for reconfiguring the node resources that runs in a host computer. We adopt for the node implementation a PSoC device from Cypress. The performance evaluation of the scheme presented is made by adopting two 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 run time lower than an exhaustive search method.
format	Objeto de conferencia Objeto de conferencia
author	Lovay, Mónica Peretti, Gabriela Romero, Eduardo Marqués, Carlos
author_facet	Lovay, Mónica Peretti, Gabriela Romero, Eduardo Marqués, Carlos
author_sort	Lovay, Mónica
title	Adaptive amplifier system for sensor network applications
title_short	Adaptive amplifier system for sensor network applications
title_full	Adaptive amplifier system for sensor network applications
title_fullStr	Adaptive amplifier system for sensor network applications
title_full_unstemmed	Adaptive amplifier system for sensor network applications
title_sort	adaptive amplifier system for sensor network applications
publishDate	2011
url	http://sedici.unlp.edu.ar/handle/10915/125336
work_keys_str_mv	AT lovaymonica adaptiveamplifiersystemforsensornetworkapplications AT perettigabriela adaptiveamplifiersystemforsensornetworkapplications AT romeroeduardo adaptiveamplifiersystemforsensornetworkapplications AT marquescarlos adaptiveamplifiersystemforsensornetworkapplications
bdutipo_str	Repositorios
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Adaptive amplifier system for sensor network applications

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