Document Type : Original Article

Authors

1 Department of Computer Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran.

2 Nenad Komazec, University of Defence in Belgrade, Belgrade, Serbia.

3 Department of Applied Mathematics and Computer Science, Faculty of Applied Mathematics, University of Guilan, Guilan, Iran.

Abstract

This paper, named IoT-based river water quality monitoring, gives the outcome of quality river water with the advantage of various advanced techniques, the Internet of Things, and Wireless Sensor Networks (WSNs). As part of this, we have made the things to collect the data and transfer the data to the software that we have made. Then, the data we collect using various equipment will be analyzed using the software we have designed. Besides that, we automate the monitoring process with the system's hardware, data visualization, and software. This water quality monitoring system has been a significant issue and can be used digitally, intelligently, and effectively to improve river water quality.

Keywords

[1] Hemdan, E. E.-D., Essa, Y. M., Shouman, M., El-Sayed, A., & Moustafa, A. N. (2023). An efficient IoT based smart water quality monitoring system. Multimedia tools and applications, 82(19), 28827–28851.
[2] Gleiser, M., & Moro, S. (2023). Implementation of an IoT-based water quality monitoring system for aquaculture. International journal of research publication and reviews, 4, 1449–1452.
[3]       Addow, M. A., & Jimale, A. D. (2023). IoT-based real-time water quality monitoring for sustainable water management: a case study in Somalia. International journal of electrical and electronics engineering, 10(8), 170–175.
[4]       Sarminingsih, A., Juliani, H., Budihardjo, M. A., Puspita, A. S., & Mirhan, S. A. A. (2024). Water quality monitoring system for temperature, pH, Turbidity, DO, BOD, and COD parameters based on internet of things in the garang watershed. Ecological engineering & environmental technology (EEET), 25(2). http://www.ecoeet.com/pdf-174412-98688?filename=98688.pdf
[5]       Stojanovic, N., & Chaudhary, S. (2023). Real-time water quality monitoring in aquaculture using IoT sensors and cloud-based analytics. Research journal of computer systems and engineering, 4(2), 174–187.
[6]       Taghvaei, F., & Safa, R. (2021). Efficient energy consumption in smart buildings using personalized NILM-based recommender system. Big data and computing visions, 1(3), 161–169.
[7]       Jayaraman, P., Nagarajan, K. K., Partheeban, P., & Krishnamurthy, V. (2024). Critical review on water quality analysis using IoT and machine learning models. International journal of information management data insights, 4(1), 100210. https://doi.org/10.1016/j.jjimei.2023.100210
[8]       McCaig, M., Rezania, D., & Dara, R. (2023). Framing the response to IoT in agriculture: a discourse analysis. Agricultural systems, 204, 103557. https://doi.org/10.1016/j.agsy.2022.103557
[9]       Jabbar, W. A., Ting, T. M., Hamidun, M. F. I., Kamarudin, A. H. C., Wu, W., Sultan, J., … & Ali, M. A. H. (2024). Development of LoRaWAN-based IoT system for water quality monitoring in rural areas. Expert systems with applications, 242, 122862. https://doi.org/10.1016/j.eswa.2023.122862
[10]     Kanchana, M., Gopirajan, P. V, Sureshkumar, K., Sudharsanan, R., & Suganthi, N. (2023). IoT-based water quality monitoring and detection system. In Emerging trends in expert applications and security (pp. 35–45). Singapore: Springer Nature Singapore. https://link.springer.com/chapter/10.1007/978-981-99-1909-3_4#citeas
[11]     Amuthakkannan, R., & Al Yaqoubi, M. H. A. (2023). Development of IoT based water pollution identification to avoid destruction of aquatic life and to improve the quality of water. International journal of engineering trends and technology, 71(10), 355–370.
[12]     Ravisankar, B., Gowrishankar, V., Dharani, P., Dharshini, M., Swetha Nachiyar, S., & Kesavan, T. (2023). IoT based water quality monitoring system for residential application. AIP conference proceedings, 2901(1). DOI:10.1063/5.0178810
[13]     Teng, L. M., Yusoff, K. H., Mohammed, M. N., Jameel Al-Tamimi, A. N., Sapari, N. M., & Alfiras, M. (2023). Toward sustainable smart cities: smart water quality monitoring system based on IoT technology. In Artificial intelligence and transforming digital marketing (pp. 577–593). Springer.
 [14]    Rudrakar, S., & Rughani, P. (In Press). IoT based agriculture (Ag-IoT): a detailed study on architecture, security and forensics. Information processing in agriculture. https://doi.org/10.1016/j.inpa.2023.09.002
[15]     Chataut, R., Phoummalayvane, A., & Akl, R. (2023). Unleashing the power of IoT: a comprehensive review of IoT applications and future prospects in healthcare, agriculture, smart homes, smart cities, and industry 4.0. Sensors, 23(16), 7194. https://doi.org/10.3390/s23167194
[16]     Liang, C., & Shah, T. (2023). IoT in agriculture: the future of precision monitoring and data-driven farming. Eigenpub review of science and technology, 7(1), 85–104.
[17]     Gupta, A., & Nahar, P. (2023). Classification and yield prediction in smart agriculture system using IoT. Journal of ambient intelligence and humanized computing, 14(8), 10235–10244.
[18]     Patil, R. J., Mulage, I., & Patil, N. (2023). Smart agriculture using IoT and machine learning. Journal of scientific research and technology, 1(3), 47–59. https://doi.org/10.5281/zenodo.8025371
[19]     Okoli, N. J., & Kabaso, B. (2024). Building a smart water city: iot smart water technologies, applications, and future directions. Water, 16(4), 557. https://doi.org/10.3390/w16040557
[20]     Jais, N. A. M., Abdullah, A. F., Kassim, M. S. M., Abd Karim, M. M., Abdulsalam, M., & Muhadi, N. (2024). Improved accuracy in IoT-Based water quality monitoring for aquaculture tanks using low-cost sensors: Asian seabass fish farming. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e29022
[21]     Arepalli, P. G., & Naik, K. J. (2024). A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network. The journal of supercomputing, 80(2), 2718–2747.
[22]     Alshattnawi, S., & AlSobeh, A. M. R. (2024). A cloud-based IoT smart water distribution framework utilising BIP component: Jordan as a model. International journal of cloud computing, 13(1), 25–41.