Paper Info
Title
An Optimized Measurement Algorithm For Gas Sensors Based On Carbon Nanotubes: Optimizing Sensor Performance And Hardware Resources
Abstract
This paper presents a novel algorithm for the measurement of resistive-type gas sensors with carbon nanotubes (CNTs) as sensitive layer. Contrary to conventional strategies, which extract the sensor information from the normalized resistance, the proposed algorithm is based on the variation in resistance over time. The results have demonstrated that the time necessary to get the maximum performance of these sensors is reduced around a 25% when compared with the conventional approach for any of the recovery strategies analyzed (passive desorption, external heating, or dc voltage). The hardware implementation of the proposed algorithm in a field-programmable gate array (FPGA) has also demonstrated that, in addition to optimizing the sensor performance in terms of time response and sensitivity, this measurement algorithm yields a significant minimization of the sensor readout circuit resources at both software and hardware levels paving the way for future development of smart sensors for the Internet of Things (IoT) applications.
Year
DOI
Venue
2019
10.1109/JIOT.2019.2928231
IEEE INTERNET OF THINGS JOURNAL
Keywords
Field
DocType
Carbon nanotube (CNT), field-programmable gate array (FPGA), inkjet printing, NH3, recovery, single-walled, spray deposition
Normalization (statistics),Computer science,Voltage,Algorithm,Field-programmable gate array,Gate array,Minification,Software,Carbon nanotube,Computer hardware,Temperature measurement
Journal
Volume
Issue
ISSN
6
5
2327-4662
Citations 
PageRank 
References 
0
0.34
0
Authors
8
Name
Order
Citations
PageRank
Encarnación Castillo17111.31
Jose F. Salmeron2103.72
Aniello Falco341.50
Florin C. Loghin441.50
Francisco J. Romero500.34
Paolo Lugli612419.26
Diego P. Morales7277.77
Almudena Rivadeneyra8196.21