CO-Based Outdoor Smart Lighting for Energy Aware Factory

  • Anna Florea
  • Ahmed Farahat
  • Corina Postelnicu
  • Jose L. Martinez LastraEmail author
  • Francisco J. Azcondo Sánchez
Part of the Internet of Things book series (ITTCC)


Energy awareness together with holistic perception of consumption processes are one of the main factors contributing to efficient and sustainable performance of such complex systems as buildings, cities, and factories. Availability of relevant data and possibility for cross-domain integration become minimum requirements defining the success of the implementation. Emergence of cooperating smart objects, resulting from evolution in IoT and embedded devices, helps achieving both energy awareness and efficiency by offering possibility of sensing and acting over complex environments and overcome challenges associated with cross-domain integration. This chapter describes smart lighting application for the industrial outdoor environment implemented using cooperating objects featuring Semantic Web Service middleware. Presented use-case considers the university campus area comprising multipurpose outdoor area and neighbouring industrial laboratory facilities. The application is aiming efficient use of energy and possibility for integration with relevant industrial systems.


Smart cooperating objects Embedded devices Web services Energy efficiency Smart lighting 


  1. 1.
    Bhardwaj, S., Syed, A.A., Ozcelebi, T., Lukkien, J.: Power-managed smart lighting using a semantic interoperability architecture. IEEE Trans. Consumer Electron. 57(2), 420– 427 (2011)Google Scholar
  2. 2.
    da Rocha, A.R., Delicato, F. C., de Souza, J.N., Gomes, D. G., Pirmez, L.: A semantic middleware for autonomic wireless sensor networks. WMUPS’09, June 16, 2009, Dublin, IrelandGoogle Scholar
  3. 3.
    De Barnaghi, S.P., Bauer, M., Meissner, S.: Service modelling for the internet of things. In: Federated Conference on Computer Science and Information Systems (FedCSIS), 2011, pp. 949–955, 18–21 September 2011Google Scholar
  4. 4.
    Embedded WiSeNts Roadmap, available online:
  5. 5.
    Fortino, G., Guerrieri, A., Russo, W.: Agent-oriented smart objects development. In: Proceedings of IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 907–912 (2012)Google Scholar
  6. 6.
    Fortino, G., Guerrieri, A., Lacopo, M., Lucia, M., Russo, W.: An agent-based middleware for cooperating smart objects. In: Highlights on Practical Applications of Agents and Multi-Agent Systems, Communications in Comp. and Inform. Science (CCIS), vol. 365, pp. 387–398. Springer, Berlin (2013)Google Scholar
  7. 7.
    Hedge, A., Sims, W.R., Becker, F.D.: Lighting the computerized office. Presentation at the Human Factors Society, October 1989Google Scholar
  8. 8.
    Hernandez-Munoz, J.M., Vercher, J.B., Muñoz, L., Galache, J.A., Presser, M., Hernández Gómez, L.A., Pettersson, J.: Smart cities at the forefront of the future internet. In: The future Internet, pp. 447–462. Springer, Berlin (2011)Google Scholar
  9. 9.
    Karnouskos, S.: The cooperative Internet of things enabled smart grid. In: Proceedings of the 14th IEEE International Symposium on Consumer Electronics (ISCE2010), June 7–10. Braunschweig, Germany (2010)Google Scholar
  10. 10.
    Karnouskos, S., Villaseñor, V., Handte, M., Marron, P.J.: Ubiquitous Integration of Cooperating Objects. Available on-line at: Cited 20 Mar 2013
  11. 11.
    Karnouskos, S., Villaseñor-Herrera, V., Haroon, M., Handte, M., Marrn, P.J.: Requirement considerations for ubiquitous integration of cooperating objects. In: 4th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp. 1–5, 7–10 February 2011Google Scholar
  12. 12.
    Kephart, J.O., Chess, D.: The vision of autonomic computing. In: IEEE Computer Magazine (2003)Google Scholar
  13. 13.
    Light up the visual Factory. Lighting Solutions for Lean Manufacturing. White paper. Available on-line at: Cited 16 January 2013
  14. 14.
    Marron, P.J., Minder, D.: European research on cooperating objects. In: 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops, 2009. SECON Workshops ’09, pp. 1–3, 22–26 June 2009Google Scholar
  15. 15.
    Melchore, J.A.: Sound practices for consistent human visual inspection. AAPS PharmSciTech 12(1), 215–221 (2011)Google Scholar
  16. 16.
    Ni, L.M., Zhu, Y., Ma, J., Li, M., Luo, Q., Liu, Y., Cheung, S.C., Yang, Q.: Semantic sensor net: an extensible framework. In: Proceedings of ICCNMC. ICCNMC (2005)Google Scholar
  17. 17.
    Nisson N., Wilson, A.: Virginia Energy Savers Handbook, 3rd ed, chap. 8. Virginia Department of Mines, Minerals and Energy, Richlands (2008)Google Scholar
  18. 18.
    Ramos, A.V., Delamer, I.M., Lastra, J.L.M.: Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory. In: 9th IEEE International Conference on Industrial Informatics (INDIN), pp. 497–502, 26–29 July 2011Google Scholar
  19. 19.
    Siddiqui, A.A., Ahmad, A.W., Yang, H.K., Lee, C.: ZigBee based energy efficient outdoor lighting control system. In: 14th International Conference on Advanced Communication Technology (ICACT), pp. 916–919, 19–22 February 2012Google Scholar
  20. 20.
    Serbanati, A., Medaglia, C. M., Biader Ceipidor, U.: Building blocks of the internet of things: state of the art and beyond, deploying RFID—challenges, solutions, and open issues. In: Dr. Cristina Turcu (ed.), 2011, ISBN: 978-953-307-380-4, InTech, Available from:
  21. 21.
    Tanaka, K., Higaki, H., Takizawa, M.: Object-based checkpoints in distributed systems. In: Proceedings of the Third International Workshop on Object-Oriented Real-Time Dependable Systems, pp. 9–16, 5–7 February 1997Google Scholar
  22. 22.
    U.S. Department of Energy, Energy efficiency program: test procedure for lighting systems (luminaires). Federal Register 76(150):47178–47180 (2011)Google Scholar
  23. 23.
    Wang, J., Zhang, Y., Lu, G.: Application of WSN in mine emergency communication system. In: 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008. WiCOM ’08, pp. 1–3, 12–14 October 2008Google Scholar
  24. 24.
    Wieland, M., Leymann, F., Schfer, M., Lucke, D., Constantinescu C., Westkämper, E.: Using context-aware workflows for failure management in a smart factory. In: Proceedings of Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies UBICOMM 2010, pp. 379–384, Florence, Italy, October, 2010Google Scholar
  25. 25.
    Williams A., Atkinson B., Garbesi K., Rubinstein F.: A Meta-Analysis of Energy Savings from Lighting Controls in Commercial Buildings, Energy Analysis Department, Lawrence Berkley National Laboratory. LBNL PaperLBNL-5095E. Available on-line at: Cited 15 January 2012
  26. 26.
    Yoon, J.-S., Shin, S-J., Suh, S.-H.: A conceptual framework for the ubiquitous factory. Int. J. Prod. Res. 50(8) (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Anna Florea
    • 1
  • Ahmed Farahat
    • 1
  • Corina Postelnicu
    • 1
  • Jose L. Martinez Lastra
    • 1
    Email author
  • Francisco J. Azcondo Sánchez
    • 2
  1. 1.Tampere University of TechnologyTampereFinland
  2. 2.University of CantabriaSantanderSpain

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