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Smart city article details

Title	Eclipse: An End-To-End Platform For Low-Cost, Hyperlocal Environmental Sensing In Cities
ID_Doc	21607
Authors	Daepp M.I.G.; Cabral A.; Ranganathan V.; Iyer V.; Counts S.; Johns P.; Roseway A.; Catlett C.; Jancke G.; Gehring D.; Needham C.; Von Veh C.; Tran T.; Story L.; D'Amone G.; Nguyen B.H.
Year	2022
Published	Proceedings - 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2022
DOI	http://dx.doi.org/10.1109/IPSN54338.2022.00010
Abstract	This paper presents Eclipse, a platform for low-cost urban environmental sensing using solar-powered and cellular-connected devices. Dense sensor networks promise to monitor pollution at fine spatial and temporal resolutions, yet few cities have actually implemented such networks due to high costs and limited accuracy. We address these barriers by developing an end-to-end framework for urban air quality sensing with minimal infrastructure requirements. We designed an unobtrusive device that collects data on fine particulate matter (PM2.5), temperature, relative humidity, and barometric pres-sure. A modular design further includes four low-cost gas sensors-Ozone (03), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), and Carbon Monoxide (CO)-selected based on local priorities. We deployed 115 devices across Chicago, reliably collecting data for over 90% of expected sensor-hours from July 2-September 30, 2021. We further developed a calibration strategy that reduced errors by 41.2-98.8%, improving accuracy to levels recommended for hotspot detection (PM2.5 and 03) or education (NO2 and SO2). Through this work, we offer insights on the real-world deployment of a replicable, large-scale, end-to-end platform for hyperlocal urban environmental sensing. © 2022 IEEE.
Author Keywords	Air Pollution; Internet of Things; Sensor Networks; Smart Cities

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