IoT framework for Fluctuation Enhanced Sensing

Today, Internet of Things (IoT) is an important and very popular technical and research area, as IoT systems provide opportunity to continuously monitor our environment in a cost-effective way. One really important parameter is the quality of the air since it significantly influences comfort and health. Fluctuation Enhanced Sensing (FES) is a promising method to increase the selectivity and sensitivity of the sensors, however, most of the current implementations are not optimized for energy efficient embedded systems. In our current publication we will present a complete wireless sensor node system based on Wi-Fi communication. We describe in detail how can the data processing be shared between the sensor nodes and the server in order to provide a highly reliable and responsive system while minimizing energy consumption. We believe that the framework we built is a significant step that makes it possible for fluctuation based sensing methods to be used in everyday life. Beyond gas sensing, our method can be used in further noise diagnostic based applications and seamlessly fits into the concept of IoT.

[1]  L. Kish,et al.  Fluctuation-Enhanced Sensing for Biological Agent Detection and Identification , 2009, IEEE Transactions on Nanotechnology.

[2]  Laszlo B. Kish,et al.  Extracting information from noise spectra of chemical sensors: single sensor electronic noses and tongues , 2000 .

[3]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[4]  P. Ajayan,et al.  Fluctuation enhanced gas sensing on functionalized carbon nanotube thin films , 2008 .

[5]  Robert Mingesz,et al.  Compact USB measurement and analysis system for real-time fluctuation enhanced sensing , 2011, 2011 21st International Conference on Noise and Fluctuations.

[6]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[7]  L.B. Kish,et al.  Detecting harmful gases using fluctuation-enhanced sensing with Taguchi sensors , 2005, IEEE Sensors Journal.

[8]  Anna Strzelczyk,et al.  Efficiency of Linear and Non-Linear Classifiers for Gas Identification from Electrocatalytic Gas Sensor , 2013 .

[9]  Robert Mingesz,et al.  Fluctuation enhanced gas detector for wireless sensor networks , 2013, 2013 22nd International Conference on Noise and Fluctuations (ICNF).

[10]  L. Kish,et al.  A CMOS sensor array IC for Van der Waals enhanced MOSFET and Taguchi type sensors , 2004, Proceedings of IEEE Sensors, 2004..

[11]  Robert Mingesz,et al.  Power Spectral Density Estimation for Wireless Fluctuation Enhanced Gas Sensor Nodes , 2014 .

[12]  Chiman Kwan,et al.  Binary Fingerprints at Fluctuation-Enhanced Sensing , 2010, Sensors.

[13]  Janusz Smulko,et al.  HAZARDOUS GASES DETECTION BY FLUCTUATION-ENHANCED GAS SENSING , 2010 .