Focusing on the design, architecture, and monitoring of Smart LED Street Lighting control, this paper investigates the use of a Cloud-Based Multi-agent System (CMAS) as a possible framework. The work centres upon previous developments by the authors in Close and Long Range Hybrid Pyroelectric Infrared (PIR) motion detection sensors. It also introduces the advances in radar type sensors that can be used in intelligent street lighting system control applications. The proposed sensor solutions can detect the traffic user (car or human) and determine its movement direction and approximate speed, which can be used both for dynamic lighting control algorithms, traffic intensity prediction, and increased city street safety. Furthermore, the street lighting system infrastructure can also monitor city environmental parameters like temperature, humidity, and CO2 levels, and many more, creating new services for smart cities.