Abstract
Efficient monitoring and maintenance of streetlight infrastructure remain significant challenges in modern smart cities due to the high costs associated with manual inspections and distributed deployments. This paper presents a Centralized Mapping Architecture for Automated Streetlight Fault Detection via Wireless Sensor Mesh Networks. The proposed system utilizes solar-powered sensor nodes and a wireless mesh communication framework to provide real-time monitoring of streetlight clusters. By monitoring the electrical behavior of ten streetlights using a single sensor node, the architecture significantly reduces hardware requirements and deployment costs. The system is capable of detecting faulty bulbs, leakage currents, and ground faults while providing real-time GIS-based fault localization. Simulation results demonstrate fault detection accuracy above 97%, packet delivery ratios close to 99%, and approximately 90% reduction in sensing hardware compared to conventional approaches. The proposed architecture offers a scalable, energy-efficient, and cost-effective solution for smart streetlight management.