Smart Street Lighting System with Networking Communication

This paper presents LoRaWAN based smart street lighting control system which allows to control night time street light autonomously with minimum energy consumption. The power saving system is done by using motion detection and illuminance sensor to measure the traffic congestion and illumination level. Every street light has been equipped with LoRaWAN communication modules that sends and receives data with the main server to control LED street light which has illuminance level calculated by DIALux. When autonomously controlling street lighting system, the server system decides which street light should be dimmed according to motion sensors. If no vehicle passes the area for adjusted amount of time, the street light will dim. If any of the vehicle passes the area, the closest street to that area will raise the illumination level to normal level.

[1]  Don McLean Adaptive Roadway Lighting , 2006 .

[2]  John D. Bullough,et al.  Driver decision making in response to peripheral moving targets under mesopic light levels , 2007 .

[3]  S.Y.R. Hui,et al.  Case study of a highly-reliable dimmable road lighting system with intelligent remote control , 2005, 2005 European Conference on Power Electronics and Applications.

[4]  Marjukka Eloholma Development of visual performance based mesopic photometry , 2005 .

[5]  John W. Shaffer,et al.  The Development of Low Frequency, High Output Electrodeless Fluorescent Lamps , 1999 .

[6]  P. V. Manitha,et al.  Design and development of enhanced road safety mechanism using smart roads and energy optimized solar street lights , 2017, 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS).

[7]  M. Eloholma,et al.  Visual performance in night‐time driving conditions , 2006, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[8]  Alekha Kumar Mishra,et al.  Smart lighting: Intelligent and weather adaptive lighting in street lights using IOT , 2017, 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT).