The real-time air monitoring system is today’s need for development of good decisive system. This paper proposes to develop IoT-based air monitoring system with the help of Ardunio system. The collection of data has been done through various air monitoring stations. Due to the large involvement of data in this work, this paper proposed to look this data as a big data and data scientist may explore study of air pollution due to smog, emission of methane, and effect of wind flow. This paper introduced the concept of Big Data and how it will be mapped with a data of affecting air pollution. To demonstrate the concept of data analytics, a case study of air monitoring system is presented in this paper.
CITATION STYLE
Srivastava, C., Singh, S., & Singh, A. P. (2020). IoT-enabled air monitoring system. In Advances in Intelligent Systems and Computing (Vol. 910, pp. 173–180). Springer Verlag. https://doi.org/10.1007/978-981-13-6095-4_13
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