poster

Gotcha II: Deployment of a Vehicle-based Environmental Sensing System: Poster Abstract

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Lin ZhangAuthors Info & Claims

SenSys '16: Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM

Pages 376 - 377

https://doi.org/10.1145/2994551.2996714

Published: 14 November 2016 Publication History

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Abstract

According to the World Health Organization (WHO), outdoor air pollution led to an estimated 3.7 million premature deaths worldwide in 2012. To address this problem, it is necessary for both residents and city administrations to understand air quality in their immediate environment with fine-grained temporal-spatial resolution. Currently both fixed and mobile systems are used to attempt to sense the pollution field. However, they generally are expensive, cover small areas and thus result in lower accuracy.

To address this problem, we present Gotcha II, our environmental sensing system that utilizes data from both official sites and mobile sensing devices deployed on vehicles to infer air pollution. We present our experiences and calibration methods to improve data accuracy through the deployment on 100 vehicles in the greater Shenzhen area.

References

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M. China. Ambient air quality standards. gb 3095-2012. China Environmental Science Press, Beijing, 2012.

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Published In

SenSys '16: Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM

November 2016

398 pages

ISBN:9781450342636

DOI:10.1145/2994551

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 November 2016

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Poster
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SenSys '16

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SenSys '16: The 14th ACM Conference on Embedded Network Sensor Systems

November 14 - 16, 2016

CA, Stanford, USA

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Overall Acceptance Rate 174 of 867 submissions, 20%

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