The Modelling of the System of Automated Street Lighting Control Using LoRa Technology

Objective: IoT-based street lighting control is motivated by society's desire to build energetically efficient systems that underlie the concept of a smart city. The basic functions of automated lighting are: street and/or outdoor lighting control; individual and group dimming; adjusting light to specific weather conditions, the presence of pedestrians and traffic. Fulfilling the task requires access to each individual light source, which can be achieved with the help of IoT wireless technology. This work aims to provide calculations of the parameters of a system of remote street lighting control. Methods used: The Okamura – Hata radio wave propagation model is used to determine the number of base stations required for remote control of luminaires. This model allows determining the range of a base station in areas with typical urban development. Novelty: a comparison of different techniques applied in low-power large-coverage energy networks designed for lighting control. It has been shown that network capacity can increase using seven uplink channels and one downlink channel at a fixed frequency. The attained package delivery success rate is 99 %. The result presented is a RadioPlanner design of a LoRa-based initial approximation network.