AQUATIC ENVIRONMENT’S POLLUTANT DETECTION USING WSN SENSOR NODES BASED EMBEDDED SYSTEM

  • Unique Paper ID: 177826
  • PageNo: 2980-2987
  • Abstract:
  • This project presents a low-cost, real-time water quality monitoring system using Wireless Sensor Network (WSN) nodes based on the ESP32 microcontroller. Various sensors including pH, turbidity, temperature, and Total Dissolved Solids (TDS) are integrated to collect data from aquatic environments. The collected data is transmitted via Wi-Fi to the Blynk cloud platform for continuous remote monitoring. The system aims to assist in the detection of water pollution and aid environmental agencies and researchers in taking timely preventive measures.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{177826,
        author = {SANGAMESHWAR S and KALAIMUTHAMIZHAN M and MANIYARASU B and SAKTHEESWARAN C and RAM KARTHIK KUMAR K},
        title = {AQUATIC ENVIRONMENT’S POLLUTANT DETECTION USING WSN SENSOR NODES BASED EMBEDDED SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2980-2987},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177826},
        abstract = {This project presents a low-cost, real-time water quality monitoring system using Wireless Sensor Network (WSN) nodes based on the ESP32 microcontroller. Various sensors including pH, turbidity, temperature, and Total Dissolved Solids (TDS) are integrated to collect data from aquatic environments. The collected data is transmitted via Wi-Fi to the Blynk cloud platform for continuous remote monitoring. The system aims to assist in the detection of water pollution and aid environmental agencies and researchers in taking timely preventive measures.},
        keywords = {},
        month = {May},
        }

Cite This Article

S, S., & M, K., & B, M., & C, S., & K, R. K. K. (2025). AQUATIC ENVIRONMENT’S POLLUTANT DETECTION USING WSN SENSOR NODES BASED EMBEDDED SYSTEM. International Journal of Innovative Research in Technology (IJIRT), 11(12), 2980–2987.

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