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A Comprehensive Real-Time Indoor Air-Quality Level Indicator

Author

Listed:
  • Jungho Kang

    (Department of Computer Science & Engineering, Soongsil University, Seoul 156-743, Korea)

  • Kwang-Il Hwang

    (Department of Embedded Systems Engineering, Incheon National University, Incheon 402-772, Korea)

Abstract

The growing concern about Indoor Air-Quality has accelerated the development of small, low-cost air-quality monitoring systems. These systems are capable of monitoring various indoor air pollutants in real time, notifying users about the current air-quality status and gathering the information to the central server. However, most Internet of Things (IoT)-based air-quality monitoring systems numerically present the sensed value per pollutant, making it difficult for general users to identify how polluted the air is. Therefore, in this paper, we first introduce a tiny air-quality monitoring system that we developed and, based on the system, we also test the applicability of the comprehensive Air-Quality Index (AQI), which is widely used all over the world, in terms of its capacity for a comprehensive indoor air-quality indication. We also develop design considerations for an IoT-based air-quality monitoring system and propose a real-time comprehensive indoor air-quality level indication method, which effectively copes with dynamic changes and is efficient in terms of processing and memory overhead.

Suggested Citation

  • Jungho Kang & Kwang-Il Hwang, 2016. "A Comprehensive Real-Time Indoor Air-Quality Level Indicator," Sustainability, MDPI, vol. 8(9), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:9:p:881-:d:77235
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    Citations

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    Cited by:

    1. Francesco Mancini & Fabio Nardecchia & Daniele Groppi & Francesco Ruperto & Carlo Romeo, 2020. "Indoor Environmental Quality Analysis for Optimizing Energy Consumptions Varying Air Ventilation Rates," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    2. Joaquim Amândio Azevedo & Filipe Edgar Santos, 2021. "A More Efficient Technique to Power Home Monitoring Systems Using Controlled Battery Charging," Energies, MDPI, vol. 14(13), pages 1-16, June.
    3. Jong Hyuk Park & Han-Chieh Chao, 2017. "Advanced IT-Based Future Sustainable Computing," Sustainability, MDPI, vol. 9(5), pages 1-4, May.

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