An Intelligent Management of Lighting in an Ambient Environment with a Multi-agent System

  • Aouatef ChaibEmail author
  • Boussebough Imen
  • Chaoui Allaoua
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 1)


The home automation is one of the most customers of electrical energy after the industry. Lighting represents on average about 15 % of the annual electricity bill excluding gas and hot water. Different studies have been made to reduce the electrical energy consumption like automatic switching and time programming. But all these techniques have not an important rate in reducing the electrical energy consumption. So we note that an intelligent lighting which varies with the users need remains important source of economy of the energy. The intelligent lighting is obtained by using ambient intelligence (AmI). Multi agent System (MAS) have become the important paradigm to develop an ambient system because they have important characteristics like autonomy, proactivity and mobility to respond better to the main characteristic of ambient intelligence like the adaptability to the context. In this area, we propose an adaptive and intelligent lighting system in which each light source is represented by a software agent and the set of agents compose and coordinate their competences in order to illuminate a region with minimum energy consumption.


Ambient intelligence Multi agent system Intelligent lighting Home automation Context-aware 


  1. 1.
    Weiser, M.: Some computer science issues in ubiquitous computing. Commun. ACM 36(7), 75–84 (1993)CrossRefGoogle Scholar
  2. 2.
    Crowley Coutaz, J.: Plan intelligence ambiante: Defis et opportunites. Document de reflexion conjoint du comite d experts Informatique Ambiante du departement ST2I du CNRS et du Groupe de Travail Intelligence Ambiante du Groupe de Concertation Sectoriel (GCS3) du Ministre de l Enseignement Superieur et de la Recherche 36(7), 75–84Google Scholar
  3. 3.
    Baldauf, M., Dustdar, S., Rosenberg, F.: A survey on context-aware systems. IJAHUC 2(4), 263 (2007)CrossRefGoogle Scholar
  4. 4.
    Ferrando, S.P., Onaindia, E.: Context-aware multi-agent planning in intelligent environments. Inf. Sci. 227, 22–42 (2013)CrossRefGoogle Scholar
  5. 5.
    Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.C., Ducatel, K.: Istag scenarios for ambient intelligence. Technical report, IST Advisory Group (2010)Google Scholar
  6. 6.
    Ramos, C., Augusto, J.C., Shapiro, D.: Ambient intelligence and mathsemicolon the next step for artificial intelligence. IEEE 23(2), 15–18 (2007)Google Scholar
  7. 7.
    Bergmann, R.: Ambient intelligence for decision making in fire service organizations. In: Lecture Notes in Computer Science, pp. 73–90. Springer Science Business Media (2007)Google Scholar
  8. 8.
    Aouatef, C., Iman, B., Allaoua, C.: Multi-agent system in ambient environment for assistance of elderly sick peoples. In: Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication (IPAC 15). Association for Computing Machinery (ACM) (2015)Google Scholar
  9. 9.
    Bellifemine, F., Caire, G., Greenwood, D.: Developing Multi-agent Systems with JADE. Wiley (2007)Google Scholar
  10. 10.
    Corchado, J.M., Bajo, J., de Paz, Y., Tapia, D.I.: Intelligent environment for monitoring alzheimer patients, agent technology for health care. Decis. Support Syst. 44(2), 382–396 (2008)CrossRefGoogle Scholar
  11. 11.
    Moraitis, P., Spanoudakis, N.: Argumentation-based agent interaction in an ambient-intelligence context. IEEE Intell. Syst. 22(6), 84–93 (2007)CrossRefGoogle Scholar
  12. 12.
    Cook, D.J., Youngblood, M., Das, S.K.: A Multi-agent Approach to Controlling a Smart Environnement, chapter Designing Smart Homes. Springer (2006)Google Scholar
  13. 13.
    Dujardin, T.: Gestion intelligente d un contexte domotique par un Systme Multi-Agents. Ph.D. thesis, Universite Lille 1—Sciences et Technologies, France (2011)Google Scholar
  14. 14.
    Remagnino, P., Hagras, H., Monekosso, N., Velastin, S.: Ambient intelligence. In: Ambient Intelligence, pp. 1–14. Springer Science Business MediaGoogle Scholar
  15. 15.
    Mezzano, T.: Veille Technologique en Informatique-SmartHome-. Ph.D. thesis, Universite Libre de Bruxelles Faculte des sciences Departement d informatique (2006)Google Scholar
  16. 16.
    Ferber, J.: Les Systmes Multi Agents: vers une intelligence collective (1995)Google Scholar
  17. 17.
    Olaru, A.: A context-Aware Multi-Agent System for AmI Environments. Ph.D. thesis, University politehnica of Bucharest. Romania. University Pierre et Marie curie (Paris 6). France (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Aouatef Chaib
    • 1
    Email author
  • Boussebough Imen
    • 2
  • Chaoui Allaoua
    • 1
  1. 1.MISC LaboratoryConstantine 2 UniversityConstantineAlgeria
  2. 2.Lire LaboratoryConstantine 2 UniversityConstantineAlgeria

Personalised recommendations