Wireless electronic nose network for real-time gas monitoring system

We present a study on the development and testing of a wireless electronic nose network (WENn) for monitoring real-time gas mixture, NH3 and H2S, main malodors in various environments. The proposed WENn is based on an embedded PC, an electronic olfactory system and wireless sensor network (WSN) technology and neuro-fuzzy network algorithms. The WENn used in this work takes advantage of recent advances in low power wireless communication platforms and uses micro-gas sensors with SnO2-CuO and SnO{in2-Pt sensing films for detecting the presence of target gases. Each node in the network real-timely performs classification and concentration estimation of the binary gas mixtures using the fuzzy ART and ARTMAP neural networks and calculation of the measured humidity and temperature in a located point and then transmits the computed results from the measured data set to a sink node via a Zigbeeready RF transceiver. In addition, a monitoring manager virtual instrument (MMVI) is developed using LabVIEW to monitor efficiently the analyzed gas information from the sensor node. To test the reproducibility and reliability of the WENn, on-line experiments are conducted with the gas monitoring system.