Evaluation –Based WSN For Groundwater Monitoring System
Abstract
In the last decade, WSN used in various aspect of environmental conditions
monitoring. due to Rise in the population, climate instability, and
unregulated groundwater mining threaten the preservation of aquifers
worldwide. Effective and data-driven control of groundwater supply is
essential for sustaining critical water-dependent functions. Recently, the
water crisis in Yemen has become a problem threatening the lives of many
residents. This is due to the manager's lack of cost-effective, scalable, and
reliable groundwater monitoring systems needed to gather vital groundwater
data. In this study, we developed a fully automated real-time groundwater
level system for data collection and visualization based on wireless sensor
network (WSN). The study was applied in Taiz City, Yemen. The steps used
to develop the system, including dividing the study area into different zones,
and each zone uses a local base-station to collect the data from the sensors
deployed in the same zone. All local base-station send the data to the master
base station located remotely. The master bases station collects the data and
sends it to the web-servers that are used to save and visualize the data
permanently. The proposed system was designed and evaluated using the
web design techniques and the system performance investigated based on
network bandwidth and the sensors' power consumption.
monitoring. due to Rise in the population, climate instability, and
unregulated groundwater mining threaten the preservation of aquifers
worldwide. Effective and data-driven control of groundwater supply is
essential for sustaining critical water-dependent functions. Recently, the
water crisis in Yemen has become a problem threatening the lives of many
residents. This is due to the manager's lack of cost-effective, scalable, and
reliable groundwater monitoring systems needed to gather vital groundwater
data. In this study, we developed a fully automated real-time groundwater
level system for data collection and visualization based on wireless sensor
network (WSN). The study was applied in Taiz City, Yemen. The steps used
to develop the system, including dividing the study area into different zones,
and each zone uses a local base-station to collect the data from the sensors
deployed in the same zone. All local base-station send the data to the master
base station located remotely. The master bases station collects the data and
sends it to the web-servers that are used to save and visualize the data
permanently. The proposed system was designed and evaluated using the
web design techniques and the system performance investigated based on
network bandwidth and the sensors' power consumption.
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