Accurate water consumption measurement and equitable billing are vital for sustainable water resource management, especially in regions facing scarcity and uneven distribution. Conventional systems, which often rely on shared mechanical meters, fail to provide individual usage data, leading to disputes, waste, and inefficiencies. This paper presents the design and experimental validation of a low-cost, IoT-enabled Smart Water Billing System (SWBS) that delivers real-time consumption monitoring, adaptive calibration, and automated proportional billing. The proposed system integrates an ESP8266 NodeMCU, YF-B1 Hall-effect flow sensors, and anomaly detection algorithms to ensure precise measurement and early leak detection, where the IoT functionality of the prototype is realized through the Wi-Fi-enabled NodeMCU, which transmits processed consumption and status data to a remote backend using HTTP-based communication for cloud-connected logging and monitoring. A multi-stage calibration method was developed to maintain accuracy across diverse flow rates, reducing measurement error to below 3%. Experimental results confirm that the system reliably tracks individual unit consumption, supports scalable deployment in multi-unit buildings, and provides transparent billing through wireless data transmission. By combining affordability, accuracy, and real-time analytics, the SWBS offers a sustainable solution for modern urban water management, promoting conservation and fair resource distribution.
Water scarcity and unequal access to safe drinking water have become major challenges in both rural and urban regions due to rapid population growth, inefficient distribution systems, and increasing water wastage. This paper presents the design and performance analysis of a low-cost Internet of Things (IoT)-based Smart...
A. V, Punith Kumar D, P. M et al.· International Workshop on Ar...· 0 citations
Many countries, especially in Africa, lack sufficient water. Water is a valuable resource, with research focusing on reducing its consumption and on developing water-use monitoring systems. Industrial, commercial, and housing units often have leaks that waste a significant amount of water. To address this issue, the pr...
S. Sheikh, Nadhir ben Halima, Kumbirayi Nyachionjeka et al.· Engineering, Technology &...· 0 citations
The emissions of carbon and industrial discharge, overflow of fertilizers and nautical wastes have become common conservational problems in the world. The conventional water-quality analysis is based on manual sampling and laboratory analysis which are time consuming and lack real-time analysis. The IoT-based underwate...
G. Brindha, P. Juliet, M. Nethaji· Knowledge Economy· 0 citations
The model integrates low-cost sensors to measure pH, turbidity, temperature, and total dissolved solids (TDS), along with an embedded microcontroller for real-time data acquisition and processing, and demonstrates reliable real-time monitoring with minimal measurement deviations.
S. Ooko, Laura Cheptegei, Simon M. Karume· Mbeya University of Science...· 0 citations
Monitoring water quality is important for environmental safety and public health in places with fast-changing or unstable water conditions. Conventional monitoring approaches are slow to respond, not scalable, and lack real-time decision-making ability. To address these limitations, a research framework is proposed bas...
H. H. Qasim, Ahmed Hameed Majeed, Samar A. Al-Khafaji et al.· Emerging Science Journal· 0 citations
Safe and equitable drinking water is still a problem in many rural areas, where drinking water distribution systems are not efficient, water is usually pumped by hand, and there is a lack of monitoring of drinking water. This study proposes a Smart Automated Water Distribution System that aims to make rural water suppl...
M. Babu, K. Meiyarasu, D. J. Kumar· 2026 6th International Confe...· 0 citations
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