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Annals of Computer Science and Information Systems, Volume 17

Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems

Adaptive Lighting System as a Smart Urban Object

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DOI: http://dx.doi.org/10.15439/2018F30

Citation: Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 17, pages 145149 ()

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Abstract. In this article we present an approach to an adaptive lighting system as an intelligent object supporting urban space, especially for the elderly. This intelligent lighting system is used as an instrument to improve the feeling of safety in everyday life by overcoming barriers such as dark areas at night. The intelligence of this system is based on a personalized and position-dependent adaptation of light, whereby intensity and color can be varied. This article focuses on the technical implementation of a corresponding lighting system. In this context, the main point of emphasis is the overall architecture, especially from the point of view of an application system.

References

  1. Koch, M., Kötteritzsch, A., Fietkau, J.: Information radiators: using large screens and small devices to support awareness in urban space. Proceedings of the International Conference on Web Intelligence (WI ‘17), pp. 1080–1084. ACM, Leipzig (2017)
  2. Nippun Kumaar, A. A., Kiran, G., Sudarshan, T. S. B.: Intelligent Lighting System Using Wireless Sensor Networks. International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC) 1 (4), pp. 17–27 (2010). http://dx.doi.org/10.5121/ijasuc.2010.1402
  3. Paradiso, J. A., Aldrich, M., Zhao, N.: Energy-efficient control of solid-state lighting. SPIE Newsroom. (2011). http://dx.doi.org/10.1117/2.1201102.003543
  4. Crowther, J., Herzig, C., Feller, G.: The Time Is Right for Connected Public Lighting Within Smart Cities. Cisco Internet Business Solutions Group (IBSG) (2012)
  5. Escolar, S., Carretero, J., Marinescu, M., Chessa, S.: Estimating Energy Savings in Smart Street Lighting by Using an Adaptive Control System. International Journal of Distributed Sensor Networks, pp. 1–17. (2014). http://dx.doi.org/10.1155/2014/971587
  6. Papantoniou, S., Kolokotsa, D., Kalaitzakis, K., Cesarini, D. N., Cubi, E., Cristalli, C.: Adaptive lighting controllers using smart sensors. International Journal of Sustainable Energy 35 (6), pp. 537–553 (2014). http://dx.doi.org/10.1080/14786451.2014.923887
  7. Jackson, H., Jackson, S., Jackson, C., Siminovitch, M.: Saving Energy in Buildings with Adaptive Lighting Solutions. California Energy Commission. California Lighting Technology Center, UC Davis (2015)
  8. Ożadowicz, A., Grela, J.: Energy saving in the street lighting control system—a new approach based on the EN-15232 standard. Energy Efficiency (2016). http://dx.doi.org/10.1007/s12053-016-9476-1
  9. Caicedo, D., Pandharipande, A.: Daylight and occupancy adaptive lighting control system: An iterative optimization approach. Lighting Research and Technology 48 (6), pp. 661–675 (2016), http://dx.doi.org/10.1177/1477153515587148
  10. Yin, C., Stark, B., Chen, Y., Zhong, S.: Adaptive minimum energy cognitive lighting control: Integer order vs fractional order strategies in sliding mode based extremum seeking. Mechatronics 23 (7), pp. 863–872 (2013). http://dx.doi.org/10.1016/j.mechatronics.2013.09.004
  11. Yin, C., Stark, B., Chen, Y., Zhong, S., Lau, E.: Fractional-order adaptive minimum energy cognitive lighting control strategy for the hybrid lighting system. Energy and Buildings 87, pp. 176–184 (2015). http://dx.doi.org/10.1016/j.enbuild.2014.11.036
  12. Leccese, F., Cagnetti, M., Trinca, D.: A smart city application: a fully controlled street lighting isle based on Raspberry-Pi card, a ZigBee sensor network and WiMAX. Sensors 14 (12), pp. 24408–24424 (2014). http://dx.doi.org/10.3390/s141224408
  13. Huldtgren, A., Katsimerou, C., Kuijsters, A., Redi, J. A., Heynderickx, I. E. J.: Design Considerations for Adaptive Lighting to Improve Seniors’ Mood. Inclusive Smart Cities and e-Health, Bd. 9102. Cham: Springer International Publishing (Lecture Notes in Computer Science), pp. 15– 26 (2015)
  14. Kuijsters, A., Redi, J., Ruyter, B. d., Heynderickx, I.: Lighting to Make You Feel Better: Improving the Mood of Elderly People with Affective Ambiences. PloS one 10 (7) (2015). http://dx.doi.org/10.1371/journal.pone.0132732
  15. Specifications: The building blocks of all Bluetooth devices. https://www.bluetooth.com/specifications. Accessed on 3 Jan 2018
  16. The Physical World: Software-defined. https://estimote.com/. Accessed on 3 Jan 2018
  17. Bluetooth 4.0 USB Adapter. https://www.asus.com/Networking/USBBT400/. Accessed on 3 Jan 2018
  18. Eddystone-UID. https://github.com/google/eddystone/tree/master/eddystone-uid. Accessed on 3 Jan 2018
  19. White and colour ambience. https://www.philips.co.uk/c- p/8718696461679/hue-white-and-colour-ambience. Accessed on 3 Jan 2018
  20. https://www.burri.shop/resources/Public_Light_small_reflektor.jpg. Accessed on 3 Jan 2018
  21. Estimote Beacons: Will wireless interference and Wi-Fi impact beacons? https://community.estimote.com/hc/en-us/articles/200794267-Will-wireless-interference-and-Wi-Fi-impact-beacons-. Accessed on 3 Jan 2018
  22. Estimote Beacons: Best practices for installing Estimote Beacons. https://community.estimote.com/hc/en-us/articles/202041266-Best-practices-for-installing-Estimote-Beacons. Accessed on 3 Jan 2018
  23. Estimote Beacons: What are Broadcasting Power, RSSI and other characteristics of a beacon’s signal? https://community.estimote.com/hc/en-us/articles/201636913-What-are-Broadcasting-Power-RSSI-and-other-characteristics-of-a-beacon-s-signal-. Accessed on 3 Jan 2018