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.

@article{188117,
        author = {Abhinav Goutam and Abhishek and Abhishek M and Ankit Anand and Dr. Prasunna VNP and Asst Professor Niveditha V K},
        title = {Water Quality Monitoring System and Resource Sustainability Using Advanced Wireless Communication Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {632-636},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188117},
        abstract = {Pollution and water scarcity are major obstacles to sustainable development, particularly in areas that are fast becoming more urbanized and agricultural. Periodic manual sampling, which is slow, labor-intensive, and offers limited temporal and spatial coverage, is the foundation of conventional water quality monitoring. In order to enable real-time and large-scale observation of critical parameters like pH, turbidity, dissolved oxygen, temperature, and electrical conductivity, this paper proposes an Internet of Things (IoT)-enabled water quality monitoring system that makes use of cutting-edge wireless communication technologies like Low-Power Wide Area Networks (LPWAN), including LoRaWAN and NB-IoT. Low-cost sensor nodes placed at various locations in surface or groundwater sources, an energy-efficient wireless communication layer, and a cloud-based analytics platform for data visualization, threshold-based alerts, and decision assistance are all integrated into the system design. The suggested approach promotes long-term resource sustainability by enabling early contamination event detection, water treatment process optimization, and non-revenue water loss reduction through continuous monitoring. The approach's viability for both rural and urban deployments is demonstrated by a prototype implementation and performance evaluation in terms of packet delivery ratio, latency, power consumption, and coverage. The findings show that sophisticated wireless communication systems can greatly increase monitoring effectiveness and facilitate data-driven sustainable management of water resources.},
        keywords = {Water quality monitoring, IoT, wireless sensor networks, LoRaWAN, NB-IoT, resource sustainability, smart water.},
        month = {December},
        }