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A Review of Air Quality Monitoring System Based on Crowdsensing

  • Min HuangEmail author
  • Xia WuEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 127)

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.

Keywords

Air quality monitoring system Crowdsensing Sensor 

Notes

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).

References

  1. 1.
    Huang, M., Chen, Y.: Internet of things and intelligent devices and services. CAAI Trans. Intell. Technol. 3(2), 73–74 (2018)CrossRefGoogle Scholar
  2. 2.
    Huang, M., Bai, Y., Chen, Y., Sun, B.: A distributed proactive service framework for crowd-sensing process. In: Proceedings of IEEE Conference 13th International Symposium on Autonomous Decentralized Systems, pp. 68–74 (2017)Google Scholar
  3. 3.
    Estrin, D.: Participatory sensing: applications and architecture. IEEE Internet Comput. 1, 12–42 (2010)CrossRefGoogle Scholar
  4. 4.
    Ganti, R.K., Ye, F., Lei, H.: Mobile crowdsensing: current state and future challenges. IEEE Commun. Mag. 11, 32–39 (2011)CrossRefGoogle Scholar
  5. 5.
    Zhao, D., Ma, H., Liu, L.: Energy-efficient opportunistic coverage for people-centric urban sensing. Wirel. Netw. (2014)Google Scholar
  6. 6.
    Madan, A., Cebrian, M., Lazer, D., Pentland, A.: Social sensing for epidemiological behavior change. In: Proceedings of the 12th ACM International Conference on Ubiquitous Computing, pp. 291 − 300. ACM Press (2010)Google Scholar
  7. 7.
    Alvear, O., Calafate, C., Cano, J.C., et al.: Crowdsensing in smart cities: overview, platforms, and environment sensing issues. Sensors 2, 460 (2018)CrossRefGoogle Scholar
  8. 8.
    Shao, T., Miao, X., Zhou, Z., et al.: A screening method for the target pollutants of atmospheric health benchmark in China. Environ. Chem. (2017)Google Scholar
  9. 9.
    Wang, X.L., Liu, C., Guan, W.L.: Study on the relationship of city primary air pollutants based on principal component analysis method. J. Tianjin Univ. Technol. (2015)Google Scholar
  10. 10.
    Schwanke, R.C., Marcon, R., Bento, A.F., et al.: EPA- and DHA-derived resolvins’ actions in inflammatory bowel disease. Eur. J. Pharmacol. 785, 156–164 (2016)CrossRefGoogle Scholar
  11. 11.
    Wang, C.H., Huang, Y.K., Zheng, X.Y., Lin, T.S., Chuang, C.L., Jiang, J.A.: A self-sustainable air quality monitoring system using WSN. In: Proceedings of IEEE International Conference Service-Oriented Computing and Applications, pp. 1–6 (2012)Google Scholar
  12. 12.
    Penza, M., Suriano, D., Villani, D., Spinelle, L., Gerboles, M.: Towards air quality indices in smart cities by calibrated low-cost sensors applied to networks. In: Proceedings IEEE SENSORS, pp. 2012–2017 (2014)Google Scholar
  13. 13.
    European Commission, “Air quality–existing legislation” (2016). http://ec.europa.eu/environment/air/quality/legislation/existingleg.htm
  14. 14.
    Brienza, S., Galli, A., Anastasi, G., Bruschi, P.: A low-cost sensing system for cooperative air quality monitoring in urban areas. Sensors 15(6), 12242–12259 (2015)CrossRefGoogle Scholar
  15. 15.
    Liu, X., et al.: PM2:5 monitoring using images from smartphones in participatory sensing. In: Computer Communications Workshops IEEE, pp. 630–635 (2015)Google Scholar
  16. 16.
    Pan, Z., Yu, H., Miao, C.: Crowdsensing Air Quality with Camera-Enabled Mobile Devices (2017)Google Scholar
  17. 17.
    Liu, L., Liu, W., Zheng, Y., Ma, H., Zhang, C.: Third-Eye: A Mobilephone-Enabled Crowdsensing System for Air Quality Monitoring (2018)Google Scholar
  18. 18.
    Antonic, A., Bilas, V., Marjanovic, M., et al.: Urban crowd sensing demonstrator: sense the Zagreb air. In: International Conference on Software, Telecommunications and Computer Networks, pp. 423–424. IEEE (2014)Google Scholar
  19. 19.
    Oletic, D., Bilas, V.: “Design of sensor node for air quality crowdsensing. In: Sensors Applications Symposium, pp. 1–5. IEEE (2015)Google Scholar
  20. 20.
    Maag, B., Zhou, Z., Thiele, L.: W-Air: Enabling Personal Air Pollution Monitoring on Wearables (2018)Google Scholar
  21. 21.
    Eisenman, S.B., Miluzzo, E., Lane, N.D., et al.: BikeNet: a mobile sensing system for cyclist experience mapping. ACM Trans. Sens. Netw. 6, 1–39 (2010)CrossRefGoogle Scholar
  22. 22.
    Corno, F., Montanaro, T., Migliore, C., et al.: SmartBike: an IoT crowd sensing platform for monitoring city air pollution. Int. J. Electr. Comput. Eng. 6 (2017)Google Scholar
  23. 23.
    Aguiari, D., Delnevo, G., Monti, L., et al.: Canarin II: designing a smart e-bike eco-system. In: IEEE Consumer Communications & NETWORKING Conference 2018, pp. 1–6. IEEE (2018)Google Scholar
  24. 24.
    Hu, S.C., Wang, Y.C., Huang, C.Y., Tseng, Y.C., Kuo, L.C., Chen, C.Y.: Vehicular sensing system for CO 2 monitoring applications. In: Proceedings IEEE Asia Pacific Wireless Communication Symposium, pp. 168–171 (2009)Google Scholar
  25. 25.
    Sivaraman, V., Carrapetta, J., Hu, K., Luxan, B.G.: HazeWatch: a participatory sensor system for monitoring air pollution in Sydney. In: Proceedings of IEEE Conference Local Computer Networks, pp. 56–64 (2013)Google Scholar
  26. 26.
    Dutta, P., et al.: Common sense: participatory urban sensing using a network of handheld air quality monitors. In: International Conference on Embedded Networked Sensor Systems, SENSYS 2009, Berkeley, California, USA. DBLP, pp. 349–350, November 2009Google Scholar
  27. 27.
    Ziftci, C., et al.: Citisense: mobile air quality sensing for individuals and communities design and deployment of the Citisense mobile air-quality system. In: International Conference on Pervasive Computing Technologies for Healthcare IEEE, pp. 23–24 (2012)Google Scholar
  28. 28.
    Dutta, J., Gazi, F., Roy, S., et al.: AirSense: opportunistic crowd-sensing based air quality monitoring system for smart city. In: Sensors, pp. 1–3. IEEE (2017)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Software EngineeringThe South China University of TechnologyGuangzhouChina

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