Abstract
We propose a novel method to reveal and measure natural gas presence in air, using commercial off-the-self available MOX gas sensors in wireless sensor network applications. This technique reduces the power consumed by the catalytic sensors of a factor 10\(\times \), by an analysis on a reduced sampled period and thus extending the autonomy of battery operated systems. The information about the gas concentration is extracted from the sensor transient response through a discrete cosine transform (DCT) analysis and permits to immediately discriminate between clean-air and hazardous situations. The characterization of the sensing device has been conducted using a wide range of humidity and environmental conditions to demonstrate the effectiveness of the approach and a detailed comparison with the standard usage has been performed. Finally, the technique has been implemented in a Wireless Sensor Network designed specifically to measure air-quality in a large area and to share information over the internet.
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Acknowledgments
The work presented in this paper was supported by the project GreenDataNet, funded by the EU 7th Framework Programme (grant n. 609000), and by the Autonomous Province of Trento within EnerViS —‘Energy Autonomous Low Power Vision System’ project.
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Brunelli, D., Rossi, M. (2014). CH\(_4\) Monitoring with Ultra-Low Power Wireless Sensor Network. In: De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. Lecture Notes in Electrical Engineering, vol 289. Springer, Cham. https://doi.org/10.1007/978-3-319-04370-8_2
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