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SATVAM: Toward an iot cyber-infrastructure for low-cost urban air quality monitoring

Simmhan, Y and Nair, S and Monga, S and Sahu, R and Dixit, K and Sutaria, R and Mishra, B and Sharma, A and Anand, SVR and Hegde, M and Zele, R and Tripathi, SN (2019) SATVAM: Toward an iot cyber-infrastructure for low-cost urban air quality monitoring. In: 15th IEEE International Conference on eScience, eScience 2019, 24 - 27 September 2019, San Diego, pp. 57-66.

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Official URL: https://doi.org/10.1109/eScience.2019.00014


Air pollution is a public health emergency in large cities. The availability of commodity sensors and the advent of Internet of Things (IoT) enable the deployment of a city-wide network of 1000's of low-cost real-Time air quality monitors to help manage this challenge. This needs to be supported by an IoT cyber-infrastructure for reliable and scalable data acquisition from the edge to the Cloud. The low accuracy of such sensors also motivates the need for data-driven calibration models that can accurately predict the science variables from the raw sensor signals. Here, we offer our experiences with designing and deploying such an IoT software platform and calibration models, and validate it through a pilot field deployment at two mega-cities, Delhi and Mumbai. Our edge data service is able to even-out the differential bandwidths from the sensing devices and to the Cloud repository, and recover from transient failures. Our analytical models reduce the errors of the sensors from a best-case of 63 using the factory baseline to as low as 21, and substantially advances the state-of-The-Art in this domain. © 2019 IEEE.

Item Type: Conference Paper
Publication: Proceedings - IEEE 15th International Conference on eScience, eScience 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Air quality; Calibration; Costs; Data acquisition; e-Science, Calibration model; Cyber infrastructures; Field deployment; Health emergencies; Internet of Things (IOT); Software platforms; State of the art; Urban air quality, Internet of things
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 06 Jan 2023 06:26
Last Modified: 06 Jan 2023 06:26
URI: https://eprints.iisc.ac.in/id/eprint/78808

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