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Energy-saving smart street lighting system based on 6LoWPAN

Published: 27 October 2014 Publication History

Abstract

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.

References

[1]
International Energy Agency, 2006, Light's Labour's Lost, OECD/IEA, 2006.
[2]
Sei Ping Lau; Merrett, G. V.; White, N. M., 2013, Energy-efficient street lighting through embedded adaptive intelligence, Advanced Logistics and Transport (ICALT), 2013 International Conference on, vol., no., pp.53, 58. DOI=http://dx.doi.org/10.1109/ICAdLT.2013.6568434.
[3]
Joshi, M.; Madri, R.; Sonawane, S.; Gunjal, A.; Sonawane, D. N., 2013, Time Based Intensity Control for Energy Optimization Used for Street Lighting, India Educators' Conference (TIIEC), 2013 Texas Instruments, vol., no., pp.211,215, 4-6 April 2013, DOI=http://dx.doi.org/10.1109/TIIEC.2013.44.
[4]
Castro, M.; Jara, A. J.; Skarmeta, A. F. G., 2013, Smart Lighting Solutions for Smart Cities, Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on, vol., no., pp.1374, 1379, 25-28 March 2013, DOI=http://dx.doi.org/10.1109/WAINA.2013.254.
[5]
Müllner, R. and Riener, A., 2011, An energy efficient pedestrian aware Smart Street Lighting system. International Journal of Pervasive Computing and Communications, Vol. 7, No. 2. (2011), pp. 147--161. DOI=http://dx.doi.org/10.1108/17427371111146437.
[6]
Caffarel, J.; Jie, S.; Olloqui, J.; Martinez, R.; Santamaria, A., 2013, Implementation of a Building Automation System Based on Semantic Modeling. Journal of Universal Computer Science, Vol. 19, No. 17, pp. 2543--2558. DOI=http://dx.doi.org/10.3217/jucs-019-17-254

Cited By

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  • (2016)M2M Power Saving based on Analysis of Network Call Data RecordsProceedings of the 10th International Conference on Informatics and Systems10.1145/2908446.2908454(254-259)Online publication date: 9-May-2016

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URB-IOT '14: Proceedings of the First International Conference on IoT in Urban Space
October 2014
117 pages
ISBN:9781631900372

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  • IEEE IoT: IEEE Internet of Things

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ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

Brussels, Belgium

Publication History

Published: 27 October 2014

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Author Tags

  1. 6LoWPAN
  2. LED
  3. energy efficiency
  4. smart lighting

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Urb-IoT '14
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  • IEEE IoT

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  • (2016)M2M Power Saving based on Analysis of Network Call Data RecordsProceedings of the 10th International Conference on Informatics and Systems10.1145/2908446.2908454(254-259)Online publication date: 9-May-2016

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