A Systematic Review of IoT-Enabled Smart Water Monitoring Systems for Sustainable Water Management

Ensuring continuous access to safe and clean water has become a critical global challenge due to rapid urbanisation, industrial expansion, and environmental degradation. Conventional water quality monitoring approaches rely on manual sampling and laboratory analysis, resulting in delayed responses and limited spatial coverage. Recent advancements in the Internet of Things (IoT) have enabled the development of smart water monitoring systems capable of real-time sensing, remote data transmission, and intelligent analysis. This paper presents a systematic review of IoT-based smart water monitoring systems with emphasis on sensing technologies, communication architectures, data processing strategies, and system scalability. Existing research demonstrates that IoT-enabled solutions significantly enhance monitoring efficiency, reduce operational costs, and support data-driven decision-making. However, challenges related to energy efficiency, data reliability, scalability, and intelligent analytics remain open research issues. By critically analysing existing studies, this review identifies research gaps and highlights future directions for sustainable and intelligent water monitoring infrastructures.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-03
DOI
https://doi.org/10.5281/zenodo.18464599
Primary Topic
Water Quality Monitoring Technologies
Type
article
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article

A Systematic Review of IoT-Enabled Smart Water Monitoring Systems for Sustainable Water Management

Lavina Wilson Dsouza, Sanika Sanjay Kamble
Zenodo (CERN European Organization for Nuclear Research)
Water Quality Monitoring Technologies
article

A Systematic Review of IoT-Enabled Smart Water Monitoring Systems for Sustainable Water Management

Lavina Wilson Dsouza, Sanika Sanjay Kamble
article en

Abstract

Ensuring continuous access to safe and clean water has become a critical global challenge due to rapid urbanisation, industrial expansion, and environmental degradation. Conventional water quality monitoring approaches rely on manual sampling and laboratory analysis, resulting in delayed responses and limited spatial coverage. Recent advancements in the Internet of Things (IoT) have enabled the development of smart water monitoring systems capable of real-time sensing, remote data transmission, and intelligent analysis. This paper presents a systematic review of IoT-based smart water monitoring systems with emphasis on sensing technologies, communication architectures, data processing strategies, and system scalability. Existing research demonstrates that IoT-enabled solutions significantly enhance monitoring efficiency, reduce operational costs, and support data-driven decision-making. However, challenges related to energy efficiency, data reliability, scalability, and intelligent analytics remain open research issues. By critically analysing existing studies, this review identifies research gaps and highlights future directions for sustainable and intelligent water monitoring infrastructures.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 70%
Water Quality Monitoring Technologies
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A Systematic Review of IoT-Enabled Smart Water Monitoring Systems for Sustainable Water Management — Lavina Wilson Dsouza, Sanika Sanjay Kamble · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS