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Journal of Electrical and Computer Engineering
Volume 2012 (2012), Article ID 762927, 14 pages
Research Article

An Adaptive Amplifier System for Wireless Sensor Network Applications

1Mechatronics Research Group, Facultad Regional Villa María, Universidad Tecnológica Nacional, Avenida Universidad 450, 5900 Villa María, Argentina
2Electronics and Instrumentation Development Group, Facultad de Matemática, Astronomía y Física, Universidad Nacional de Córdoba, Medina Allende S/N, 5000 Córdoba, Argentina

Received 22 December 2011; Revised 13 February 2012; Accepted 27 February 2012

Academic Editor: Jose Silva-Martinez

Copyright © 2012 Mónica Lovay et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.