Smart Street Lighting Infrastructure Development using IoT and Cloud Solutions

Abstract : Street lighting plays a vital role in ensuring urban safety, visibility, and community well-being. However, traditional systems operate on fixed schedules, resulting in unnecessary energy usage, increased maintenance costs, and a lack of adaptability to environmental changes. To address these challenges, this project proposes a smart street lighting infrastructure powered by Internet of Things (IoT) and cloud solutions. The system utilizes microcontrollers (Atmega 328/2560), Wi-Fi modules (ESP8266/ESP32), and various sensors such as motion detectors, light sensors, and fault detectors. These components work together to enable dynamic lighting control based on real-time conditions like movement and ambient light levels. When no motion is detected, lights dim automatically to conserve energy and brighten only when needed. Through cloud integration, the system supports centralized monitoring and remote control, allowing authorities to receive live data, schedule operations, detect faults, and manage power usage efficiently. This reduces the need for manual intervention and enhances the reliability of the lighting network. The proposed solution aligns with smart city initiatives by offering a sustainable, cost-effective, and scalable infrastructure. It significantly reduces energy consumption, improves fault response time, and contributes to environmental conservation. This innovation not only modernizes public infrastructure but also improves the quality of life for urban residents.

Keyword Smart Street Lighting, Internet of Things (IoT), Dynamic Lighting Control, Energy Efficiency, Real Time Monitoring, Cloud-Based Infrastructure