Smart Well Networks for Adaptive Groundwater Management Integrating Cloud Computing and Wireless Sensor Technologies

This research presents a new method for managing groundwater that combines cloud computing with wireless sensor technology to create what are called “Smart Well Networks” (SWNs). Innovative solutions are needed for sustainable management of groundwater, which is a major worldwide concern due to pollution and depletion. The use of wireless sensors placed within wells allows SWNs to gather data in real-time, allowing for the continuous monitoring of groundwater levels, quality, and other relevant characteristics. For the purposes of storing, analyzing, and making decisions, this data is sent to a cloud computing platform. With the help of cloud-based technology, stakeholders may quickly react to changing groundwater conditions by implementing adaptive management plans. Highlighting its ability to improve groundwater management practices via the provision of actionable insights generated from comprehensive and up-to-date data, the study delves into the design, features, and advantages of SWNs. Evidence from models and case studies shows that SWNs may optimize the use of groundwater resources while providing their sustainability in the long run. Modern groundwater management presents difficult issues; SWNs provide a potential solution via their creative integration of technology.

Authors

Institutions

Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/icstsdg61998.2024.11026177
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Well Networks for Adaptive Groundwater Management Integrating Cloud Computing and Wireless Sensor Technologies

R. Thenmozhi, S. Sujatha, M. Nalini, V. Sivakumar et al.
Energy Efficient Wireless Sensor Networks
article

Smart Well Networks for Adaptive Groundwater Management Integrating Cloud Computing and Wireless Sensor Technologies

R. Thenmozhi, S. Sujatha, M. Nalini, V. Sivakumar, S. Vimaladevi, P. Ensiba
article en

Abstract

This research presents a new method for managing groundwater that combines cloud computing with wireless sensor technology to create what are called “Smart Well Networks” (SWNs). Innovative solutions are needed for sustainable management of groundwater, which is a major worldwide concern due to pollution and depletion. The use of wireless sensors placed within wells allows SWNs to gather data in real-time, allowing for the continuous monitoring of groundwater levels, quality, and other relevant characteristics. For the purposes of storing, analyzing, and making decisions, this data is sent to a cloud computing platform. With the help of cloud-based technology, stakeholders may quickly react to changing groundwater conditions by implementing adaptive management plans. Highlighting its ability to improve groundwater management practices via the provision of actionable insights generated from comprehensive and up-to-date data, the study delves into the design, features, and advantages of SWNs. Evidence from models and case studies shows that SWNs may optimize the use of groundwater resources while providing their sustainability in the long run. Modern groundwater management presents difficult issues; SWNs provide a potential solution via their creative integration of technology.

Jawaharlal Nehru Technological University, Hyderabad (IN), Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), SRM Institute of Science and Technology (IN), Saveetha University (IN)
Clean water and sanitation
Openalex Percentile: Top 64%
Energy Efficient Wireless Sensor Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Smart Well Networks for Adaptive Groundwater Management Integrating Cloud Computing and Wireless Sensor Technologies — R. Thenmozhi, S. Sujatha, et al. · (2024) | TGRS Research Map | TGRS