Smart Water-IoT: Harnessing IoT and AI for Efficient Water Management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F25%3A43927238" target="_blank" >RIV/62156489:43110/25:43927238 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43210/25:43927238 RIV/62156489:43670/25:43927238 RIV/61989100:27240/25:10258208
Result on the web
<a href="https://doi.org/10.1145/3744338" target="_blank" >https://doi.org/10.1145/3744338</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3744338" target="_blank" >10.1145/3744338</a>
Alternative languages
Result language
angličtina
Original language name
Smart Water-IoT: Harnessing IoT and AI for Efficient Water Management
Original language description
The treatment, monitoring, and distribution of drinking water is an integral component of critical national infrastructure and therefore places continually increasing demands on Water Distribution Networks (WDNs). This domain and its sub-sectors face several major problems, namely climate change and drought-induced rises in water consumption from surface and underground reservoirs, in addition to the existence of significant water leaks during transmission to end users. These problems can be addressed by deploying Internet of Things (IoT) systems and smart distribution grids to improve the efficiency and safety of water distribution and to easily detect leaks or unauthorized consumption. This type of smart grid is referred to as Smart Water-IoT (SW-IoT), a novel, comprehensive water management concept. This review article discusses the application of IoT components and artificial intelligence (AI) in five basic categories (agriculture, water treatment, security, WDNs, and wastewater). Relevant legislation in the EU, USA, Canada, Australia, China, Japan, and India is also reviewed. In this context, the mandatory implementation of smart remote data reading solutions into the critical infrastructure of EU member states is outlined to highlight the importance of responsible water handling. The article provides a detailed analysis of the current research in SW-IoT and defines the main research challenges for future investigation.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20701 - Environmental and geological engineering, geotechnics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ACM Computing Surveys
ISSN
0360-0300
e-ISSN
1557-7341
Volume of the periodical
57
Issue of the periodical within the volume
12
Country of publishing house
US - UNITED STATES
Number of pages
36
Pages from-to
304
UT code for WoS article
001541137800002
EID of the result in the Scopus database
2-s2.0-105011371013