Design and Integrate IoT Sensors to RO Water Purifiers for Remote Monitoring and Allowing Users to Pay Per Usage on the Rented RO System

Water is a precious need of our lives. Due to the rapid population and urbanization, water usage monitoring is a significant problem facing our society. One solution is to control, analyze, and reduce the water consumption of the houses. The emerging of the Internet of Things (IoT) concept lately in our lives has offered the opportunity to establish water usageefficient smart devices, systems and applications for buildings and cities. Many studies have suggested designing an IoT-based smart meter system; however, the IoT sensor node has limited studies, especially in battery life. Therefore, this study aims to implement and analyze an efficient data collection algorithm for IoT-based smart metering applications in consideration with energy consumption. The system items used are Arduino Uno, Wi-Fi-ESP8266, and water flow sensors. The applied algorithm is an efficient data collection algorithm for water meter (EDCDWM) to reduce the number of packet transmissions. Arduino performed this system's implementation, while the simulation and analysis performed by MATLAB R2019b. The average percentage of energy saved by the applied algorithms of EDCDWM absolute change; and EDCDWM with relative differences in all nodes are around 60% and 93%, respectively.

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Design and Integrate IoT Sensors to RO Water Purifiers for Remote Monitoring and Allowing Users to Pay Per Usage on the Rented RO System

Cited by 3 publications

References 11 publications

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Random Forest Algorithm for Mitigating Floods and Ensuring Clean Water: IoT-Based Monitoring, Harvesting and Purification in Flood-Prone India

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