ISSAQ: An Integrated Sensing Systems for Real-Time Indoor Air Quality Monitoring
- 23 September 2014
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Sensors Journal
- Vol. 14 (12), 4230-4244
- https://doi.org/10.1109/jsen.2014.2359832
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.Funding Information
- U.S. Department of Defense by a Capacity Building Fund
- Smart Spaces Initiative Fund from Penn State’s Smart Space Center and the College of Information Sciences and Technology, USA
This publication has 25 references indexed in Scilit:
- WSN Based Air Pollution Monitoring SystemInternational Journal of Science and Engineering Applications, 2013
- A distributed energy-efficient clustering algorithm with improved coverage in wireless sensor networksFuture Generation Computer Systems, 2012
- Wireless Monitoring of Indoor Air Quality by a Sensor NetworkIndoor and Built Environment, 2010
- Particulate Matter at Surface: Northern Italy Monitoring Based on Satellite Remote Sensing, Meteorological Fields, and in-situ SamplingsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2009
- Micro Sensor Node for Air Pollutant Monitoring: Hardware and Software IssuesSensors, 2009
- Sensor network data fault typesACM Transactions on Sensor Networks, 2009
- Gas discrimination in an air-conditioned systemIEEE Transactions on Instrumentation and Measurement, 2000
- The air pollution picture in ChinaIEEE Spectrum, 1999
- Gas identification with tin oxide sensor array and self-organizing maps: adaptive correction of sensor driftsIEEE Transactions on Instrumentation and Measurement, 1998
- Acute Respiratory Effects of Particulate Air PollutionAnnual Review of Public Health, 1994