Our prototype is designed to revolutionize energy efficiency for mobile networks through renewable energy sources. Key features include:
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- Real-time Environmental Monitoring:
‍Equipped with SparkFun Arduino IoT Weather Station, INA219 Current Sensor, and Solar Panel.
Collects data on wind speed, solar irradiance, temperature, and humidity.
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- Data Processing and Cloud Integration:
‍Transmits environmental data to a cloud-based platform.
Integrates with historical datasets for enhanced energy predictions.
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- Advanced Energy Analysis:
‍Calculates renewable energy potential for Base Station (BS) sites.
Supports decision-making to optimize energy consumption and reduce diesel dependency.

Our web application transforms environmental data into actionable insights for sustainable mobile networks. With an intuitive interface and four core tools, it helps optimize base station deployment and energy use.
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- Real-Time Analysis: Visualizes live data from our prototype, including wind speed, solar irradiance, temperature, and humidity.‍
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- Location Analysis: Identifies optimal sites for base stations, using solar and wind potential to support efficient, eco-friendly planning.‍

- Base Station Analysis: Enhances existing base stations by showing how renewables can cut costs and boost energy performance.‍

- Network Analysis: Scales insights to national level, estimating energy savings and sustainability impact across the entire network.