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High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks
conference contribution
posted on 2014-01-01, 00:00 authored by Sutharshan RajasegararSutharshan Rajasegarar, P Zhang, Y Zhou, S Karunasekera, C Leckie, M PalaniswamiAtmospheric pollutants, such as gases and particu-late matters (PM) pose a threat to human health. In particular, there has been a strong focus on particulate matter as it is a common pollutant to cause population health hazards, especially respiratory illness. Monitoring of this pollutant is currently attained at low spatial resolutions due to the cost of accurate sensing devices. Even though these devices are highly accurate, given the distance they are placed apart from each other, the relevance of their measurements to an unmeasured spatial location in between sensors will be very low, which causes large estimation errors. In this paper, we present a solution by creating easy-to-implement wireless sensor network hardware equipped with inexpensive PM sensors to supplement the existing high accurate PM devices to improve estimation accuracy at higher spatial and temporal resolutions. The measurements collected from the real deployments of these sensors are analyzed using spatio-temporal estimation technique to demonstrate the ability to provide accurate estimation at unmeasured locations.
History
Event
IEEE Sensors Council. Conference (9th : 2014 : Singapore)Series
IEEE Sensors Council ConferencePagination
1 - 6Publisher
Institute of Electrical and Electronics EngineersLocation
Singapore, SingaporePlace of publication
Piscataway, N.J.Publisher DOI
Start date
2014-04-21End date
2014-04-24ISBN-13
9781479928439Language
engPublication classification
E Conference publication; E1.1 Full written paper - refereedCopyright notice
2014, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
IEEE ISSNIP 2014 : Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information ProcessingUsage metrics
Categories
Keywords
Atmospheric measurementsCalibrationEstimationPollution measurementParticle measurementsMonitoringWireless sensor networksScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Information SystemsRemote SensingComputer ScienceFINE PARTICULATE MATTERHOSPITAL ADMISSIONSPOLLUTIONQUALITYPM10Information SystemsArtificial Intelligence and Image Processing
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