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

Debadri Dutta (), Akshit Pradhan (), O. P. Acharya () and S. K. Mohapatra ()
Additional contact information
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

International Journal of System Assurance Engineering and Management, 2019, vol. 10, issue 4, No 22, 738 pages

Abstract: 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.

Keywords: Smart cities; Pollution monitoring; Internet of Things; Data visualization; Machine learning; Complex event processing (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-019-00802-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:10:y:2019:i:4:d:10.1007_s13198-019-00802-z

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-019-00802-z

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().