Design and Development of an Internet of Things (IoT)-Based Smart Monitoring System for Community Water Wells in Rwanda
Uwamahirwe Yvonne (),
Jean Claude Habimana (),
Colombe Yves Ishimwe (),
Philbert Nsengiyumva () and
Omar Gatera ()
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Uwamahirwe Yvonne: University of Rwanda, Internet of Things Embedded Computing Systems at the Africa Centre of Excellence of Things (ACE-IoT), College of Science and Technology
Jean Claude Habimana: University of Rwanda, Internet of Things Embedded Computing Systems at the Africa Centre of Excellence of Things (ACE-IoT), College of Science and Technology
Colombe Yves Ishimwe: University of Rwanda(UR), College of Science and Technology (CST)
Philbert Nsengiyumva: University of Sherbrooke, Electrical Engineering
Omar Gatera: University of Rwanda, Department of Electrical and Electronics Engineering Head of PhD Studies and Research, African Center of Excellence in Internet of Things (ACEIoT), College of Science and Technology
A chapter in Advancement in Embedded and Mobile Systems, 2026, pp 81-92 from Springer
Abstract:
Abstract Community water wells are essential for providing clean and safe drinking water in many rural and urban areas. However, maintaining their reliability and efficiency can be challenging due to maintenance issues, water quality concerns, and environmental factors. This paper proposes an Internet of Things (IoT)-based smart monitoring system to address these challenges. The system aims to enhance the monitoring, management, and maintenance of water wells through real-time data collection, analysis, and remote control capabilities. By leveraging IoT technologies, sensor networks, Actuators and cloud computing, the proposed solution enables efficient monitoring of key parameters such as turbidity and pH levels. Additionally, it facilitates proactive maintenance and timely interventions by alerting stakeholders, including those with disabilities, about potential issues or anomalies through various actuators. These alerts aid in decision-making regarding water use based on its status. The experimental results demonstrate that the system is promising and can be effectively used for health improvement.
Keywords: Community water wells; Smart monitoring system; Sensor networks; Actuators and water quality (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-99219-3_6
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DOI: 10.1007/978-3-031-99219-3_6
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