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IoT-Based Water Tank Quality and Level Monitoring System for Smart Water Management
Subject area: Science,Engineering and Technology · Area of research: Computer Science
DOI: https://doi.org/10.64388/IREV9I11-1717968
Abstract
Water scarcity and inefficient water management are growing concerns worldwide. With rapid urbanization and rising populations, the need to monitor, conserve, and intelligently manage water resources has never been more urgent. This paper presents a comprehensive literature review of Internet of Things (IoT)-based smart water tank monitoring and control systems, drawing on five recent peer-reviewed studies published between 2022 and 2025. The reviewed works explore a range of approaches — from real-time sensor dashboards and MQTT-based smart city architectures to IoT-GSM hybrid devices and ESP32-powered cloud monitoring solutions. Through systematic analysis, this review identifies critical research gaps including the absence of predictive analytics, limitations in network scalability, high operational costs, lack of full motor automation, and restricted applicability to complex multi-reservoir systems. Based on these identified gaps, this paper formulates five research questions and corresponding objectives, proposing directions for future work that integrate Machine Learning, hybrid communication protocols, and automated actuation into next-generation water management systems. The findings underscore the need for smarter, more scalable, and economically viable IoT solutions to address global water challenges.
Keywords
Internet of Things (IoT), Smart Water Tank Monitoring, MQTT Protocol, Real-Time Sensing, Water Quality Detection, Water Level Control, Predictive Analytics, Edge Computing, ESP32, Home Automation.
How to cite this paper
@article{1717968,
author = {S Sarvesh, Dr. Balamurugan S.},
title = {IoT-Based Water Tank Quality and Level Monitoring System for Smart Water Management},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {11},
pages = {2392-2399},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1717968.pdf},
abstract = {Water scarcity and inefficient water management are growing concerns worldwide. With rapid urbanization and rising populations, the need to monitor, conserve, and intelligently manage water resources has never been more urgent. This paper presents a comprehensive literature review of Internet of Things (IoT)-based smart water tank monitoring and control systems, drawing on five recent peer-reviewed studies published between 2022 and 2025. The reviewed works explore a range of approaches — from real-time sensor dashboards and MQTT-based smart city architectures to IoT-GSM hybrid devices and ESP32-powered cloud monitoring solutions. Through systematic analysis, this review identifies critical research gaps including the absence of predictive analytics, limitations in network scalability, high operational costs, lack of full motor automation, and restricted applicability to complex multi-reservoir systems. Based on these identified gaps, this paper formulates five research questions and corresponding objectives, proposing directions for future work that integrate Machine Learning, hybrid communication protocols, and automated actuation into next-generation water management systems. The findings underscore the need for smarter, more scalable, and economically viable IoT solutions to address global water challenges.},
keywords = {Internet of Things (IoT), Smart Water Tank Monitoring, MQTT Protocol, Real-Time Sensing, Water Quality Detection, Water Level Control, Predictive Analytics, Edge Computing, ESP32, Home Automation.},
month = {May},
doi = {https://doi.org/10.64388/IREV9I11-1717968}
}