An Energy-Efficient Street Lighting with IoT Based Smart Control Fixtures

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Abstract

Road lighting plays a significant role in energy consumption, particularly in developing countries like India. Inefficient lighting fixtures lead to substantial economic losses and safety hazards. Manual systems further contribute to global energy wastage. This study proposes the adoption of energyefficient LED lights and automated street lighting systems to minimize energy consumption and improve cost-effectiveness. Leveraging IoT technology, a smart prototype for road lights is developed, featuring real-time monitoring and diagnostics capabilities. The system promptly identifies and diagnoses issues, enabling swift and efficient maintenance. By ensuring proper lighting conditions, safety for pedestrians and motorists is enhanced, reducing the risk of accidents and criminal activities. The proposed system optimizes the functionality of street lighting, reducing downtime and inconveniences for visitors. The study highlights the potential for improving energy efficiency, cost savings, and enhanced public safety through the implementation of smart street lighting systems.

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Keywords

Road lights; PIR motion detector; Wi-Fi module; Arduino Mega; LED; monitoring; self-diagnostic and LDR; IoT.