A Study on IOT for Smart Water Quality Monitoring Using MQTT Algorithm

Authors

  • G. Vadivel  Department of Computer Applications, SNMV College of Arts and Science, Coimbatore, Tamil Nadu, India
  • A. P. Thangamuthu  Department of Computer Applications, SNMV College of Arts and Science, Coimbatore, Tamil Nadu, India
  • A. Priyadharshini  Department of Computer Applications, SNMV College of Arts and Science, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org//10.32628/CSEIT1952243

Keywords:

Watermark, Internet of Things (IOT), MQTT, Rank, Sensor, Server, Server

Abstract

The decrease in quality of water resources has become a common problem. The standard methods of water quality surveillance include water sample manual collection from various locations. These water samples were tested in laboratory using intelligence capabilities. Such approaches take time and are no longer considered inefficient. The old method of water quality detection was time consuming, less accurate and expensive. By focusing on the above problems, IOT can be used to monitor water quality in real time, a low cost water quality monitoring system. Water quality parameters in the proposed system are measured by various sensors such as pH, temperature and dissolved oxygen to transfer data on a platform via a microcontroller system. Therefore, to meet these needs, you can use other technologies such as MQTT (Message Sorting Delimiter Transform), allowing the Sensor and End device rankings to publish and subscribe. And the number of data simultaneously between sensors and servers with the help of the MQTT algorithm.

References

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Published

2019-04-30

Issue

Section

Research Articles

How to Cite

[1]
G. Vadivel, A. P. Thangamuthu, A. Priyadharshini, " A Study on IOT for Smart Water Quality Monitoring Using MQTT Algorithm, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.869-872, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952243