Enhancing Water Resource Management through IoT-Enabled Smart Water Monitoring Systems: A Multi-Agent Algorithm Approach

The Internet of Things (IoT), has significantly impacted several industry sectors in recent years, particularly those that deal with air, soil, and water quality. With the growing diversity of sensors and their processing and communication capabilities, a number of methods have been put up for creating systems that continuously gather environmental data. These data can be further processed for long-term analysis or quick response. Every solution that has been put forth presents a static system, meaning that the sensors are positioned in fixed, designer-determined locations. Our work presents a dynamic and autonomous system in which sensors are free to travel within a given area and, by utilizing intelligent algorithms and distributed systems techniques, they determine the optimal way to employ in order to monitor the target environment by combining intelligent algorithms and distributed systems techniques.

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Publication Details

Published
2024-09-04
DOI
https://doi.org/10.1109/inista62901.2024.10683848
Citations
1
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.20
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article

Enhancing Water Resource Management through IoT-Enabled Smart Water Monitoring Systems: A Multi-Agent Algorithm Approach

Donald Elmazi, Elton Domnori, Gledi Tace
1 citations
Water Quality Monitoring Technologies
0.20
article

Enhancing Water Resource Management through IoT-Enabled Smart Water Monitoring Systems: A Multi-Agent Algorithm Approach

Donald Elmazi, Elton Domnori, Gledi Tace
article en
1 citations

Abstract

The Internet of Things (IoT), has significantly impacted several industry sectors in recent years, particularly those that deal with air, soil, and water quality. With the growing diversity of sensors and their processing and communication capabilities, a number of methods have been put up for creating systems that continuously gather environmental data. These data can be further processed for long-term analysis or quick response. Every solution that has been put forth presents a static system, meaning that the sensors are positioned in fixed, designer-determined locations. Our work presents a dynamic and autonomous system in which sensors are free to travel within a given area and, by utilizing intelligent algorithms and distributed systems techniques, they determine the optimal way to employ in order to monitor the target environment by combining intelligent algorithms and distributed systems techniques.

Universiteti Metropolitan Tirana (AL)
Clean water and sanitation
Openalex Percentile: Top 45%
Water Quality Monitoring Technologies
0.20
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