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A Review of Air Quality Monitoring System Based on Crowdsensing

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International Symposium for Intelligent Transportation and Smart City (ITASC) 2019 Proceedings (ITASC 2019)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 127))

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Abstract

In the process of modern intelligent cities, how to effectively collect data on air pollution is a very important issue for citizens. Nowadays, more sensors deployed on mobile terminals, and lots of users use these mobile devices to cooperate with the Internet to realize sensing task distribution and sensing data collection, so as to complete large-scale and complex social awareness tasks, generally, this process is called crowdsensing. The traditional monitoring method is to use fixed base stations, which lacks flexibility and precision. On the other hand, crowdsensing provides new ideas for solving those problems, and more people can participate in it. So far, many studies have proposed different systems to monitor air quality. We review these articles and categorize the systems, then, we compare these systems and analyze their disadvantages and disadvantages, similarities and differences. Finally, we present the challenges of research to provide a reference for new researchers entering the field.

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Acknowledgments

The project is supported by Guangdong province science and technology planning projects (No. 2016B070704010), and Guangdong province science and technology planning projects (NO. 2016B010124010).

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Authors and Affiliations

  1. Department of Software Engineering, The South China University of Technology, Guangzhou, China

    Min Huang & Xia Wu

Authors
  1. Min Huang
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  2. Xia Wu
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Corresponding authors

Correspondence to Min Huang or Xia Wu .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, Shanghai, China

    Xiaoqing Zeng

  2. Department of Geotechnical Engineering, Tongji University , Shanghai, Shanghai, China

    Xiongyao Xie

  3. Shanghai Jiao Tong University , Shanghai, Shanghai, China

    Jian Sun

  4. School of Environmental Science and Engineering, Tongji University , Shanghai, Shanghai, China

    Limin Ma

  5. School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA

    Yinong Chen

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Huang, M., Wu, X. (2019). A Review of Air Quality Monitoring System Based on Crowdsensing. In: Zeng, X., Xie, X., Sun, J., Ma, L., Chen, Y. (eds) International Symposium for Intelligent Transportation and Smart City (ITASC) 2019 Proceedings. ITASC 2019. Smart Innovation, Systems and Technologies, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-13-7542-2_28

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  • DOI: https://doi.org/10.1007/978-981-13-7542-2_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7541-5

  • Online ISBN: 978-981-13-7542-2

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