Distributed Real-Time Monitoring Systems for Smart Street Lighting Networks

Inefficient monitoring and limited control in public street lighting systems often lead to increased operational costs and reduced system reliability. However, many existing lighting networks still rely on limited monitoring and control mechanisms, leading to inefficient maintenance and increased operational costs. This study investigates whether a distributed multi-parameter monitoring architecture using low-power wireless communication can improve the reliability and scalability of public street lighting systems compared to conventional centralized approaches. This study proposes a smart street lighting monitoring system based on a distributed monitoring architecture using low-power wireless communication. The system integrates environmental and electrical sensing with real-time scheduling and a wireless monitoring network to support continuous observation and remote operational control of lighting nodes. Experimental evaluation shows that the communication network maintained stable connectivity up to 100 m without packet loss, while supporting reliable data transmission suitable for sensor-based monitoring applications. The system also demonstrated responsive operation and high communication reliability during real-time monitoring. The results demonstrate that the integration of multi-parameter monitoring with mesh-based wireless communication enables reliable real-time data exchange and scalable node-to-node operation in street lighting systems. This approach provides a practical monitoring framework that can be implemented by urban infrastructure operators to improve maintenance efficiency and reduce operational complexity. The findings highlight the potential of distributed communication architectures to enhance monitoring reliability without reliance on centralized systems. Future work will focus on large-scale deployment and communication optimization in complex urban environments.