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Internet of Things and LoRaWAN-assisted real-time indoor air quality monitoring and automation system for enhancing passenger safety

Author

Listed:
  • K M Abubeker
  • C Prajitha
  • S Rinesh
  • M Arun
  • A P Senthil Kumar

Abstract

This research presents an Internet of Things and LoRaWAN-based real-time indoor air quality monitoring and automation system that works with a composite environmental sensor module MG811, MIX8410, PMS5003, and SHT35 and an ESP32 LoRaWAN GPRS module. The research methodology incorporates sensor calibration, data acquisition based on LoRaWAN, cloud-supported visualization systems, and automated threshold-oriented actuation mechanisms. The system’s accuracy and efficiency were validated through experimental trials, in which the sensor recorded CO concentration from 301 to 458 ppm, temperature from 26°C to 35°C, and oxygen from 18.1% to 20.7%.

Suggested Citation

  • K M Abubeker & C Prajitha & S Rinesh & M Arun & A P Senthil Kumar, 2025. "Internet of Things and LoRaWAN-assisted real-time indoor air quality monitoring and automation system for enhancing passenger safety," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 20, pages 1427-1439.
    • Handle: RePEc:oup:ijlctc:v:20:y:2025:i::p:1427-1439.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctaf083
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