NDLI: Wireless Sensor Networks for Distributed Chemical Sensing: Addressing Power Consumption Limits With On-Board Intelligence

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Wireless Sensor Networks for Distributed Chemical Sensing: Addressing Power Consumption Limits With On-Board Intelligence

Content Provider	Semantic Scholar
Author	Vito, Saverio De Palma, Pasquale Di Massera, Ettore Burrasca, Gianbattista Miglietta, Maria Lucia Francia, Girolamo Di
Copyright Year	2011
Abstract	Chemicals detection and quantification is extremely important for ensuring safety and security in multiple application domains like smart environments, building automation, etc. Characteristics of chemical signal propagation make single point of measure approach mostly inefficient. Distributed chemical sensing with wireless platforms may be the key for reconstructing chemical images of sensed environment but its development is currently hampered by technological limits on solid-state sensors power management. We present the implementation of power saving sensor censoring strategies on a novel wireless electronic nose platform specifically designed for cooperative chemical sensing and based on TinyOS. An on-board sensor fusion component complements its software architecture with the capability of locally estimate air quality and chemicals concentrations. Each node is hence capable to decide the informative content of sampled data extending the operative lifespan of the entire network. Actual power savings are modeled and estimated with a measurement approach in experimental scenarios.
Starting Page	947
Ending Page	955
Page Count	9
File Format	PDF HTM / HTML
DOI	10.1109/JSEN.2010.2077277
Volume Number	11
Alternate Webpage(s)	http://openarchive.enea.it/bitstream/handle/10840/6764/TRANS-JOUR-fin2.pdf;sequence=1
Alternate Webpage(s)	http://www.cs.odu.edu/~mkelly/semester/2012_fall/cs895SensorNetworks/CS895_midTermPresentation_matKelly.pdf
Alternate Webpage(s)	https://doi.org/10.1109/JSEN.2010.2077277
Journal	IEEE Sensors Journal
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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