Design of A Low-Cost Wireless Indoor Air Quality Sensor Network System

  • Sherin Abraham
  • Xinrong LiEmail author


An indoor air quality monitoring system helps in the detection and improvement of indoor air quality. The monitoring systems presently available are very expensive. In this paper, we present a low-cost indoor air quality monitoring wireless sensor network system developed using Arduino, XBee modules, and micro gas sensors. The system is capable of collecting six air quality parameters from different locations simultaneously. We have also developed a linear least square estimation-based method for sensor calibration and measurement data conversion. In this paper, we present the detailed design of wireless air quality sensor node and the calibration method. The performance and usefulness of the system are demonstrated by comparing measurement results of our system with a professional-grade air quality measurement device.


Environmental monitoring Indoor air quality Micro gas sensors Wireless sensor network 


  1. 1.
    US Environmental Protection Agency (USEPA). Indoor air quality tools for schools Communications guide. Available at
  2. 2.
    H.S. Brightman and N. Moss. Sick building syndrome studies and the compilation of normative and comparative values. Indoor Air Quality Handbook. Editors: J. D. Spengler, J. F. McCarthy, and J. M. Samet, New York: McGraw-Hill, 2001.Google Scholar
  3. 3.
    Ying Han; Neng Zhu; Nan Lu; Jing Chen; Yan Ding, “The Sources and Health Impacts of Indoor Air Pollution,” International Conference on Bioinformatics and Biomedical Engineering (ICBBE), June 2010.Google Scholar
  4. 4.
    Occupational Health and Safety Administration, “Indoor Air Quality in Commercial and Institutional Buildings”, available at
  5. 5.
    S. Choi, N. Kim, H. Cha and R. Ha, “Micro Sensor Node for Air Pollutant Monitoring: Hardware and Software Issues”, Sensors, No. 9, 2009.Google Scholar
  6. 6.
    J.-J. Kim, S.K. Jung, and J.T. Kim. Wireless monitoring of indoor air quality by a sensor network. Indoor and Built Environment, 19:1:145–150, 2010.CrossRefGoogle Scholar
  7. 7.
    R. Wan and D. Kong, “Analysis on Influencing Factors of Indoor Air Quality and Measures of Improvement on Modern Buildings,” The 2nd International Conference on Bioinformatics and Biomedical Engineering, May 2008.Google Scholar
  8. 8.
    S. Bhattacharya, S. Sridevi, R. Pitchiah, “Indoor air quality monitoring using wireless sensor network,” Sixth International Conference on Sensing Technology (ICST), Dec. 2012.Google Scholar
  9. 9.
    V. Jelicic, M. Magno, G. Paci, D. Brunelli, L. Benini, “Design, characterization and management of a wireless sensor network for smart gas monitoring,” IEEE International Workshop on Advances in Sensors and Interfaces (IWASI), June 2011.Google Scholar
  10. 10.
    Sherin Abraham and Xinrong Li, “A cost-effective wireless sensor network system for indoor air quality monitoring applications,” The 9th International Conference on Future Networks and Communications (FNC), Niagara Falls, Ontario, Canada, August 2014.Google Scholar
  11. 11.
    J. Yang, C. Zhang, X. Li, Y. Huang, S. Fu, M.F. Acevedo. Integration of wireless sensor networks in environmental monitoring cyber infrastructure. Wireless Networks, Springer/ACM, Volume 16, Issue 4, pp. 1091–1108, May 2010.CrossRefGoogle Scholar
  12. 12.
    S. Ferdoush and X. Li, “Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications,” The 9th International Conference on Future Networks and Communications (FNC), Niagara Falls, Ontario, Canada, August 2014.Google Scholar
  13. 13.
    Digi International Inc., available at
  14. 14.
    IEEE 802.15 WPAN Task Group 4 (TG4), available at
  15. 15.
    ZigBee Alliance, available at
  16. 16.
    Carbon Dioxide Sensor MG811 Datasheet, available at
  17. 17.
    Operational Amplifier MCP6001 Datasheet, available at
  18. 18.
    Volatile Organic Compounds Sensor TGS2602 Datasheet, available at
  19. 19.
    Carbon Monoxide Sensor MG7 Datasheet, available at
  20. 20.
    Ozone Sensor MQ131 Datasheet, available at
  21. 21.
  22. 22.
    Direct Sense IAQ 610, GrayWolf Sensing Solutions, available at
  23. 23.
    S. M. Kay, Fundamentals of Statistical Signal Processing, Vol.1: Estimation theory, Prentice Hall, 1993.Google Scholar
  24. 24.
    S. Abraham. Development of cost effective wireless sensor system for indoor air quality monitoring applications. Master of Science Thesis, University of North Texas, 2014.Google Scholar
  25. 25.
    Temperature and Humidity Sensor RTH03 Datasheet, available at

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of Electrical EngineeringUniversity of North TexasDentonUSA

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