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IoT based pollution monitoring and health correlation: a case study on smart city

Author

Listed:
  • Debadri Dutta

    (Kalinga Institute of Industrial Technology)

  • Akshit Pradhan

    (Kalinga Institute of Industrial Technology)

  • O. P. Acharya

    (Kalinga Institute of Industrial Technology)

  • S. K. Mohapatra

    (Kalinga Institute of Industrial Technology)

Abstract

We are living in a world which is connected to the internet, and as a result, a significant amount of data is being generated which can be processed using efficient methods for the technology development for the mankind. This paper focuses on the implementation of the HUT architecture for analyzing the IoT data, for the pollution control of a smart city. We propose our solution in a real-world smart city use case by obtaining the correlation between different types of gases responsible for pollution and further predicting the solutions for the prevention of pollution in real time.

Suggested Citation

  • Debadri Dutta & Akshit Pradhan & O. P. Acharya & S. K. Mohapatra, 2019. "IoT based pollution monitoring and health correlation: a case study on smart city," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 731-738, August.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:4:d:10.1007_s13198-019-00802-z
    DOI: 10.1007/s13198-019-00802-z
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    Cited by:

    1. Taizhi Lv & Jun Zhang & Juan Zhang & Yong Chen, 2022. "A path planning algorithm for mobile robot based on edge-cloud collaborative computing," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 594-604, March.
    2. Shilpa Srivastava & Millie Pant & Ritu Agarwal, 2020. "Role of AI techniques and deep learning in analyzing the critical health conditions," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 350-365, April.

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