Edge-Intelligent IoT System for Smart Water Usage Monitoring and Leak Detection

Spoorti Vinayak Nayak , Dr. Pratibha K

Internet of Things (IoT), Edge Computing, Smart Water Management, Leak Detection, Real-Time Monitoring, Water Flow Analysis, Sliding Time-Window, Threshold-Based Detection, Cloud Visualization, Smart City Infrastructure

Water leakage in distribution systems leads to significant resource loss, highlighting the need for intelligent, low-latency monitoring and leak detection solutions. This paper proposes an edge-intelligent Internet of Things (IoT)–based system for smart water usage monitoring and real-time leak detection. The system performs local edge-level analysis of water flow data using a sliding time-window approach combined with threshold-based decision logic to accurately distinguish between normal consumption and leak conditions. By processing data at the edge, the proposed method reduces detection latency, minimizes network dependency, and limits false leak alarms caused by short-term flow fluctuations. The analyzed results are transmitted to an IoT cloud platform for real-time visualization and automated alert generation. Simulation results demonstrate reliable leak detection performance with low computational overhead, making the system suitable for deployment on resource-constrained edge devices. The proposed framework offers a scalable, efficient, and practical solution for smart water management in residential, commercial, and smart city applications.

Published Paper   E-Certificate

"Edge-Intelligent IoT System for Smart Water Usage Monitoring and Leak Detection", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.11, Issue 1, page no.b310-b313, January-2026, Available :https://ijsdr.org/papers/IJSDR2601142.pdf

Volume 11 Issue 1, January-2026

Pages : b310-b313

Paper Reg. ID: IJSDR_307027

Published Paper Id: IJSDR2601142

Downloads: 000232

Research Area: Science and Technology

Country: Bengaluru , Karnataka , India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2601142

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2601142

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition