IoT-Based Embedded System for Streamlined Thermal Comfort Data Collection in Buildings


  • Farzana Sharmin Nila Multimedia University
  • Wooi-Haw Tan Multimedia University
  • Chee Pun Ooi Multimedia University
  • Yi-Fei Tan Multimedia University


IoT, Embedded System, Thermal Comfort, MQTT, dataset


Thermal comfort refers to the process of determining a pleasant working temperature by considering various environmental, occupational, and personal factors. With the widespread adoption of Internet of Things (IoT) technologies, there is a potential to develop an IoT-based embedded system that directly integrates sensor data with building information to collect the necessary environmental factors for thermal comfort. This paper outlines the development and implementation of an embedded system for remote temperature monitoring, which gathers data such as temperature and humidity using sensors installed within the building and transmits this information to the cloud in real-time via a private Message Queuing Telemetry Transport (MQTT) server. An IoT-based embedded system makes the data collection process more efficient, automated, and integrated, which ultimately leads to a faster and smoother experience in gathering and processing the necessary information to optimize thermal comfort. Following data collection, a machine learning model may be trained using the acquired data to automatically adjust the thermal comfort level in the building, improving overall comfort and energy efficiency.



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Author Biography

  • Farzana Sharmin Nila, Multimedia University

    Research Officer 

    Faculty of Engineering, 

    Multimedia Univeristy 




How to Cite

Nila, F. S. ., Tan, W.-H., Ooi, C. P., & Tan, Y.-F. . (2024). IoT-Based Embedded System for Streamlined Thermal Comfort Data Collection in Buildings. International Journal of Integrated Engineering, 16(3), 78-91.