The First International Conference on IoT in Urban Space

Research Article

Energy-saving smart street lighting system based on 6LoWPAN

  • @INPROCEEDINGS{10.4108/icst.urb-iot.2014.257221,
        author={Jorge M. Perandones and Guillermo del Campo Jim\^{e}nez and Jaime Caffarel Rodr\^{\i}guez and Song Jie and Silvia Calatrava Sierra and Rocio Mart\^{\i}nez Garc\^{\i}a and Asunci\^{o}n Santamar\^{\i}a Gald\^{o}n},
        title={Energy-saving smart street lighting system based on 6LoWPAN},
        proceedings={The First International Conference on IoT in Urban Space},
        keywords={6lowpan smart lighting energy efficiency led},
  • Jorge M. Perandones
    Guillermo del Campo Jiménez
    Jaime Caffarel Rodríguez
    Song Jie
    Silvia Calatrava Sierra
    Rocio Martínez García
    Asunción Santamaría Galdón
    Year: 2014
    Energy-saving smart street lighting system based on 6LoWPAN
    DOI: 10.4108/icst.urb-iot.2014.257221
Jorge M. Perandones1,*, Guillermo del Campo Jiménez1, Jaime Caffarel Rodríguez1, Song Jie1, Silvia Calatrava Sierra1, Rocio Martínez García1, Asunción Santamaría Galdón1
  • 1: CeDInt-UPM
*Contact email:


This work presents a LED-based smart street lighting system which allows both autonomous and on-demand control. Minimum energy consumption is achieved by regulating the street lights depending on illumination level and motion detection. The system has been tested in a real infrastructure at a University Campus. Every street light has been equipped with a wireless communication device which integrates a luminosity sensor, in order to maintain only the necessary light level, and a set of motion sensors, in order to increase the level just when there are pedestrians and vehicles around. Devices communicate through an IEEE802.15.4 interface and 6LoWPAN as network protocol, enabling external monitoring/control and between street lights interaction. When autonomously working, a state machine within the Contiki OS decides the most suitable dimming level according to sensor values and other programmable parameters such as illumination thresholds or neighbor configuration. On the other hand, since the system can be controlled remotely, luminosity levels, calibration and behavior parameters can be manually adjusted. Besides, the motion sensors may also be used during daylight to monitor citizen flow, offering additional features as people behavior patterns recognition and security assistance.