Research Article
IoT-Driven Water Quality Monitoring Systems for Smart Cities
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Abstract
Water quality monitoring systems in smart cities, driven by the Internet of Things (IoT), utilize interconnected sensors to continuously measure parameters such as pH, turbidity, and contaminants. These systems offer real-time data and analysis, making it possible to quickly identify problems like contamination or leaks. By incorporating machine learning, they aid in forecasting trends and enhancing resource management. The architecture of the system consists of sensing, communication, and data processing layers, with wireless protocols used to transmit information for analysis. These systems enhance urban water management, promote sustainable development, and efficiently address water quality challenges.
Keywords
Predictive analytics Resource optimization Cloud computing Environmental monitoringReferences (10)
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Article Metrics
- Published 2024-08-23
- Issue Vol. 1 No. 3 (2024): Soft Computing Fusion with Applications
- Section Articles
- Document Type Research Article
- Views 976
- Downloads 449
How to Cite
Behera, S. (2024). IoT-Driven Water Quality Monitoring Systems for Smart Cities. Soft Computing Fusion With Applications , 1(3), 161-166. https://doi.org/10.22105/scfa.v1i3.47