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Original Article
Sustainable Water Quality Monitoring System Using IOT and WSN and Disease Prediction Powered By AI
Inchara M1
Sandeep S V2
Sanjana D S3
Manoj C M4
Kushi C5
Manojkumar S B6
123456 Department of ECE, BGS Institute of Technology, ACU, Bengaluru, Karnataka, India.
Published Online: May-June 2025
Pages: 106-111
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20250503012References
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networks”, IEEE 2009 .
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Members IEEE, “Low-Power wide area network
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Computer Science and Software Engineering (IJCSSE), Volume 8, Issue 2, February 2019
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based water turbidity meter using LDR and LED sensors”, International Journal of Engineering & Technology, 2018
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naturalresources,https://dnr.mo.gov/env/esp/wqm/DOSaturationTable.htm
6. zhengguo sheng, chinmayamahapatra, chunshengzh, and victor c. m. leung, members ieee, “Recent advances in industrial
wireless sensor networks toward efficient management in IoT”, vol 3, ieee access vol 3, 2015, doi: 10.1109/access.2015.2435000
7. Usman Raza, Parag Kulkarni, and Mahesh Sooriyabandara, “Low power wide area networks: an overview”, ieee
communications surveys & tutorials, volume: 19, issue: 2, jan 2017
8. AlexandruLavric, Valentin Popa, “Internet of things and Wi-Fi low power wide area networks challenges”, ieee 2017 9th
international conference on electronics, computers and artificial intelligence (ecai)
9. Bo Sun, Fengchao Zhu, Wenjuan Zhang, “Connect wireless sensor network with internet through cloud gateway”, ieee 2015,
11th international computer conference on wavelet active media technology and information processing (iccwamtip)
10. Faheem Zafari, Athanasios Gkelias, Kin K. Leung, ieee members, “A survey of indoor localization systems and technologies”,
arxiv:1709.01015v3 [cs.ni] 16 jan 2019
11. SittikornMuekdang and Wimol San-Um, “Intelligent rf-based indoor localization through rssi of wi-fi communication
technology”, International journal of future computer and communication, vol. 7, no. 4, december 2018
12. KamilStaniec and Micha Kowal, “Wi-Fi performance under variable interference and heavy multipath conditions”, Wireless
communications and mobile computing volume 2018, article in 6931083, 9 pages.
13. Chen, X., & Zhang, R. (2022). AI-Powered www.esp32.net technologies for Internet-of-Things: A comparative review”, IEEE, Internet of
Things journal 2018.
networks”, IEEE 2009 .
2. Augustine Ikpehai, Bamidele Adebisi, Khaled M. Rabie, Kelvin Anoh, Ruth E. Ande, Mohammad Hammoudeh, and Uche M. Mbanaso,
Members IEEE, “Low-Power wide area network
3. Ashraf A. Taha, Mohamed F. Feteiha and Wadood Abdul, “Performance evaluation for Wi-Fi”, International Journal of
Computer Science and Software Engineering (IJCSSE), Volume 8, Issue 2, February 2019
4. A. P. U. Siahaan, nogarsilitonga, muhammadiqbal, sollyaryza, wirdafitriani, Zuhriramadhan, rahmadhidayat, h, “Arduino Uno-
based water turbidity meter using LDR and LED sensors”, International Journal of Engineering & Technology, 2018
5. Dissolved oxygen and temperature dependency table by missouri department of
naturalresources,https://dnr.mo.gov/env/esp/wqm/DOSaturationTable.htm
6. zhengguo sheng, chinmayamahapatra, chunshengzh, and victor c. m. leung, members ieee, “Recent advances in industrial
wireless sensor networks toward efficient management in IoT”, vol 3, ieee access vol 3, 2015, doi: 10.1109/access.2015.2435000
7. Usman Raza, Parag Kulkarni, and Mahesh Sooriyabandara, “Low power wide area networks: an overview”, ieee
communications surveys & tutorials, volume: 19, issue: 2, jan 2017
8. AlexandruLavric, Valentin Popa, “Internet of things and Wi-Fi low power wide area networks challenges”, ieee 2017 9th
international conference on electronics, computers and artificial intelligence (ecai)
9. Bo Sun, Fengchao Zhu, Wenjuan Zhang, “Connect wireless sensor network with internet through cloud gateway”, ieee 2015,
11th international computer conference on wavelet active media technology and information processing (iccwamtip)
10. Faheem Zafari, Athanasios Gkelias, Kin K. Leung, ieee members, “A survey of indoor localization systems and technologies”,
arxiv:1709.01015v3 [cs.ni] 16 jan 2019
11. SittikornMuekdang and Wimol San-Um, “Intelligent rf-based indoor localization through rssi of wi-fi communication
technology”, International journal of future computer and communication, vol. 7, no. 4, december 2018
12. KamilStaniec and Micha Kowal, “Wi-Fi performance under variable interference and heavy multipath conditions”, Wireless
communications and mobile computing volume 2018, article in 6931083, 9 pages.
13. Chen, X., & Zhang, R. (2022). AI-Powered www.esp32.net technologies for Internet-of-Things: A comparative review”, IEEE, Internet of
Things journal 2018.
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