A low-power and low cost smart streetlight system based on Internet of Things technology

Jing-jing Zhang (), Wei-hua Zeng (), Sheng-li Hou (), Yu-qi Chen (), Lin-yan Guo () and Yan-xing Li
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Jing-jing Zhang: China University of Geosciences
Wei-hua Zeng: China University of Geosciences
Sheng-li Hou: China University of Geosciences
Yu-qi Chen: China University of Geosciences
Lin-yan Guo: China University of Geosciences
Yan-xing Li: China University of Geosciences

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 79, issue 1, No 7, 83-93

Abstract: Abstract Street lighting, as the most essential and universal component of the urban lighting system, accounts for a large portion of public electricity usage. Therefore, improving street lamps working efficiency is vital for energy savings. This paper demonstrates the design of a smart street lighting system supported by the combination of NB-IoT and LoRa communication technology. By adopting an optimized street lamp control algorithm, the system can realize the automatic control of street lights according to the real-time traffic flow information. This system has been installed on Luyang Avenue, Lucheng City, Shanxi Province, China in May 2019. It managed to reduce the electricity consumption in this region significantly in June 2019, which was 18% lower than that in April 2019 and 19.7% lower than that in June 2018. By illustrating the unique advantages of this system in energy savings and cost reduction, this paper displays its potential for further application in the construction of smart cities on a large scale.

Keywords: Smart streetlight; Low power; Energy saving; NB-IoT; LoRa (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11235-021-00847-1

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