PM 2.5 MONITORING SYSTEM USING WIRELESS SENSOR NETWORKS FOR SMART CITY

Authors

  • Prayoth Kumsawat School of Telecommunication Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
  • Nitchamon Sawangsawai School of Telecommunication Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
  • Wongsathon Pathonsuwan School of Telecommunication Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
  • Thanakorn Hoprasertwong School of Telecommunication Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
  • Arthit Srikaew School of Telecommunication Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
  • Kitti Attakitmongcol School of Telecommunication Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.

Keywords:

Air quality index, Particulate matter 2.5, Wireless sensor network, mart city

Abstract

 Air pollution caused by fine particulate matter 2.5 (PM 2.5) is a leading health crisis for people around the world including Thailand. This paper proposes a low-cost and real-time PM 2.5 monitoring system using wireless sensor network and the Internet of Things (IoT). The system is designed to monitor PM 2.5 via Blynk application on smart phone and via LCD monitor by showing the detection results in the Air Quality Index (AQI) which is easy to understand. Furthermore, our system is calibrated with the standard instrument to ensure accuracy and reliability. The results show that our low-cost system is able to provide a reliable real-time monitoring of the PM 2.5 condition.

References

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Published

2026-08-28

How to Cite

Kumsawat, P., Sawangsawai, N., Pathonsuwan, W., Hoprasertwong, T., Srikaew, A., & Attakitmongcol, K. (2026). PM 2.5 MONITORING SYSTEM USING WIRELESS SENSOR NETWORKS FOR SMART CITY. Suranaree Journal of Science and Technology, 29(3), 010125(1–5). retrieved from https://ph04.tci-thaijo.org/index.php/SUJST/article/view/15103

Issue

Section

Research Article