Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Weiser, M.: Some computer science issues in ubiquitous computing. Commun. ACM 36(7), 75–84 (1993)
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), 75–84
Baldauf, M., Dustdar, S., Rosenberg, F.: A survey on context-aware systems. IJAHUC 2(4), 263 (2007)
Ferrando, S.P., Onaindia, E.: Context-aware multi-agent planning in intelligent environments. Inf. Sci. 227, 22–42 (2013)
Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.C., Ducatel, K.: Istag scenarios for ambient intelligence. Technical report, IST Advisory Group (2010)
Ramos, C., Augusto, J.C., Shapiro, D.: Ambient intelligence and mathsemicolon the next step for artificial intelligence. IEEE 23(2), 15–18 (2007)
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)
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)
Bellifemine, F., Caire, G., Greenwood, D.: Developing Multi-agent Systems with JADE. Wiley (2007)
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)
Moraitis, P., Spanoudakis, N.: Argumentation-based agent interaction in an ambient-intelligence context. IEEE Intell. Syst. 22(6), 84–93 (2007)
Cook, D.J., Youngblood, M., Das, S.K.: A Multi-agent Approach to Controlling a Smart Environnement, chapter Designing Smart Homes. Springer (2006)
Dujardin, T.: Gestion intelligente d un contexte domotique par un Systme Multi-Agents. Ph.D. thesis, Universite Lille 1—Sciences et Technologies, France (2011)
Remagnino, P., Hagras, H., Monekosso, N., Velastin, S.: Ambient intelligence. In: Ambient Intelligence, pp. 1–14. Springer Science Business Media
Mezzano, T.: Veille Technologique en Informatique-SmartHome-. Ph.D. thesis, Universite Libre de Bruxelles Faculte des sciences Departement d informatique (2006)
Ferber, J.: Les Systmes Multi Agents: vers une intelligence collective (1995)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Chaib, A., Imen, B., Allaoua, C. (2016). An Intelligent Management of Lighting in an Ambient Environment with a Multi-agent System. In: Chikhi, S., Amine, A., Chaoui, A., Kholladi, M., Saidouni, D. (eds) Modelling and Implementation of Complex Systems. Lecture Notes in Networks and Systems, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-33410-3_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-33410-3_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-33409-7
Online ISBN: 978-3-319-33410-3
eBook Packages: EngineeringEngineering (R0)