Design and Experimental Analysis of an Arduino-Based IOT Smart Street-Lighting System with Adaptive Brightness Control

Conventional street-lighting systems may operate at a fixed output level or rely on time-based switching, leading to unnecessary energy use when ambient light is sufficient or road-user activity is low. This paper proposes a low-cost Arduinobased Internet of Things (IoT) street-lighting prototype combining ambient-light sensing, motion detection, adaptive brightness control, and remote monitoring. An LDR measures ambient illumination, while a passive infrared (PIR) sensor detects motion near the lighting zone. An Arduino Uno applies a three-state strategy: OFF during daylight, DIM during darkness without recent motion, and BRIGHT when motion is detected. An ESP8266 Wi-Fi module sends sensor readings and lamp status to an IoT dashboard. A repeatable experimental protocol is defined to evaluate response time, sensor behaviour, communication reliability, power consumption, and energy savings against an always-on full-brightness baseline. Since prototype measurements have not been supplied, quantitative results are intentionally left for completion after testing. The work is intended as a reproducible educational and small-scale research platform.