Scientific journal paper Q1
Smart sensors network for air quality monitoring applications
Octavian Postolache (Postolache, O.); Jose Miguel Dias Pereira (Dias Pereira, J. M.); Pedro Silva Girão (Girão, P. M.);
Journal Title
IEEE Transactions on Instrumentation and Measurement
Year (definitive publication)
2009
Language
English
Country
United States of America
More Information
Web of Science®

Times Cited: 165

(Last checked: 2026-03-12 12:39)

View record in Web of Science®


: 3.0
Scopus

Times Cited: 203

(Last checked: 2026-03-11 14:00)

View record in Scopus


: 3.0
Google Scholar

Times Cited: 309

(Last checked: 2026-03-09 22:15)

View record in Google Scholar

Times Cited: 1

(Last checked: 2026-03-02 07:57)

View record in Overton

Abstract
This paper presents a network for indoor and outdoor air quality monitoring. Each node is installed in a different room and includes tin dioxide sensor arrays connected to an acquisition and control system. The nodes are hardwired or wirelessly connected to a central monitoring unit. To increase the gas concentration measurement accuracy and to prevent false alarms, two gas sensor influence quantities, i.e., temperature and humidity, are also measured. Advanced processing based on multiple-input-single-output neural networks is implemented at the network sensing nodes to obtain temperature and humidity compensated gas concentration values. Anomalous operation of the network sensing nodes and power consumption are also discussed.
Acknowledgements
--
Keywords
Air quality (AirQ),Embedded Web server,Neural network,Wireless networks
  • Other Engineering and Technology Sciences - Engineering and Technology
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology