Power Savvy Wireless E-Nose Network using In-Network Intelligence
Saverio De Vito, Gianbattista Burrasca, Ettore Massera, Maria Lucia Miglietta, Girolamo Di Francia, Matteo Pardo, Giorgio Sberveglieri · AIP conference proceedings · 2009
Fluid dynamics effects make single point of measure not a viable solution for toxic/dangerous gases detection both in complex indoor and outdoor environments. Efficient distributed chemical sensing needs reliable wireless battery operated devices capable to operate for long time performing detection and quantification of gases in complex mixtures. Single solid state sensor approach would suffer form interferents influences, enose platform would help to reduce this problem but power consumption is still an issue. Dramatic reduction in this parameter can be achieved by making an e‐nose platform capable to perform local estimations avoiding unnecessary data transmission towards datasinks. Here we present the results of experimenting local sensor fusion algorithms implementation on the ENEA Tinynose platform, a wireless e‐nose based on room temperature operating sensors and TinyOS over TelosB commercial platform. Results show how the w‐nose was able to infer local qualitative and quantitative estimations for Acetic Acid and Ethanol test gases in an ad‐hoc setup.