Smart Urban Water Distribution Network for Real-Time Leakage Detection and Optimization Using IoT Systems

Abstract

The rapid growth of urban populations and increasing water demand have created significant challenges in maintaining efficient and sustainable urban water distribution systems. Conventional water distribution networks often suffer from leakage, pressure imbalance, inefficient resource utilization, and delayed fault detection, leading to substantial water loss and increased operational costs. This research presents a smart urban water distribution network for real-time leakage detection and optimization using Internet of Things (IoT) systems to improve water management efficiency, distribution reliability, and infrastructure sustainability. The proposed framework integrates IoT-enabled sensors, wireless communication technologies, cloud-based analytics platforms, and intelligent monitoring systems to continuously monitor water flow, pressure variation, pipeline conditions, and consumption patterns across the distribution network. Real-time data collected from distributed sensing devices are analyzed using intelligent anomaly detection and predictive analytics techniques to identify leakage locations, abnormal flow conditions, and system inefficiencies. The framework further incorporates automated control and optimization mechanisms to regulate water distribution, minimize leakage losses, and maintain stable pressure levels under varying demand conditions. Performance evaluation is conducted using parameters such as leakage detection accuracy, response time, water loss reduction, energy efficiency, communication reliability, and operational cost savings. Experimental and simulation results demonstrate that the proposed IoT-based smart water distribution framework significantly enhances leakage detection capability, improves distribution efficiency, and reduces non-revenue water losses compared with conventional monitoring approaches.