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A Wireless Sensor Architecture for Efficient Water Quality Measurement and Monitoring Using the IoT

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IoT and WSN based Smart Cities: A Machine Learning Perspective

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

In our daily routine, monitoring water purity is one of the essential needs. Since it is one of the basic needs even in these modern days, it is important to ensure that drinking water is safe for drinking or not. Hence, a system is designed for monitoring the purity of the water for domestic purposes. The conventional method of water quality testing gathers water samples manually which are later sent to a lab for testing and analysis. The conventional method consumes a lot of time and manpower and is costlier to implement. The implemented technique measures the quality of water in real time through various sensors. The system has a strict check on water resource pollutants and provides uncontaminated drinking water. The water purity is checked using pH sensors. The water level is monitored by the system, once the water tank is filled; the sensor control is used to stop the motor from running. Later it checks whether the water is suitable to drink; if it is not suitable, then the water pumps start and empty the tank, and all the parameters monitored by the Internet of Things (IoT) are sent to the server.

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Kavitha, N., Madhumathy, P. (2022). A Wireless Sensor Architecture for Efficient Water Quality Measurement and Monitoring Using the IoT. In: Rani, S., Sai, V., Maheswar, R. (eds) IoT and WSN based Smart Cities: A Machine Learning Perspective. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-84182-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-84182-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84181-2

  • Online ISBN: 978-3-030-84182-9

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