IoT-Based Smart Street Lighting System and Enhanced Energy Saving Using ESP-NOW Protocol

Street lighting systems are considered one of the most important pillars necessary for the infrastructure that must be provided in urban cities due to their positive impact on the lives of citizens. Street lighting provides comfort to citizens and makes them feel safe at night. Despite all these advantages, it brings a heavy burden on the energy consumption bill and has negative consequences for the environment. Modern technologies, such as wireless communications and the internet of things (IoT), have enabled the creation of smart street lighting systems that contribute to improving energy saving and preserving the environment compared to traditional systems. In this research, the performance and feasibility of a prototype smart street lighting system based on IoT and wireless communications were studied. This system was implemented and tested at a pilot site with the aim of enhancing energy performance and creating a smart infrastructure on the university campus. Street user data, captured by the passive infrared (PIR) sensor, is exchanged between lighting poles using the ESP-NOW protocol to create adaptive lighting. This ensures that the level of illumination by the LED luminaires around the user is greater than that behind them. The cloud server ThingSpeak was also utilized to collect and store the electrical variable data measured by this system. Additionally, images are captured and stored for street users. From the data obtained from the cloud server and energy measurements, the system has demonstrated its effectiveness in reducing energy consumption.