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ISSAQ: An Integrated Sensing Systems for Real-Time Indoor Air Quality Monitoring
Abstract
With growing transportation and population density, increasing global warming and sudden climate change, air quality is one of the critical measures that is needed to be monitored closely on a real-time basis in today’s urban ecosystems. This paper examines the issues, infrastructure, information processing, and challenges of designing and implementing an integrated sensing system for real-time indoor air quality monitoring. The system aims to detect the level of seven gases, ozone (O3), particulate matter, carbon monoxide (CO), nitrogen oxides (NO2), sulfur dioxide (SO2), volatile organic compound, and carbon dioxide (CO2), on a real-time basis and provides overall air quality alert timely. Experiments are conducted to validate and support the development of the system for real-time monitoring and alerting.
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Citations
Cited by
Urban Air Pollution Monitoring System With Forecasting Models
Bashir Shaban, K., Kadri, A., & Rezk, E. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2514378 · Cited by 293
LSTM-Autoencoder-Based Anomaly Detection for Indoor Air Quality Time-Series Data
Wei, Y., Jang-Jaccard, J., Xu, W., Sabrina, F., Camtepe, S., & Boulic, M. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3230361 · Cited by 269
Kanellopoulos, D., Sharma, V. K., Panagiotakopoulos, T., & Kameas, A. (2023) · Electronics · doi:10.3390/electronics12112490 · Cited by 120
Metadata
- Authors
- Kim, J.-Y., Chu, C.-H., & Shin, S.-M.
- Venue
- IEEE Sensors Journal
- Published
- 2014-12
- Volume
- 14
- Issue
- 12
- Pages
- 4230-4244
- ISSN
- 1530-437X (ISSN-L)
- 1558-1748
- 2379-9153
- OpenAlex
- W2325723732
- Cited by
- 208
- References
- 0
- FWCI
- 10.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: ISSAQ: An Integrated Sensing Systems for Real-Time Indoor Air Quality Monitoring. https://app.cochat.ai/papers/10.1109/jsen.2014.2359832
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- Kim, J.-Y., Chu, C.-H., & Shin, S.-M. (2014). ISSAQ: An Integrated Sensing Systems for Real-Time Indoor Air Quality Monitoring. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2014.2359832
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
