Abstract
Efficient operation of complex distributed systems such as smart environments requires development of self-organisation mechanisms. However, uncontrolled self-organization can often lead to wrong results. The paper proposes solving this problem through the “top-to-bottom” configuration principle. A reference model for a smart environment member is proposed. The approach is illustrated via a museum smart environment case study. It is then extended with introducing a recommending system based on the developed smart environment architecture.
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Acknowledgements
The research presented is motivated by a joint project between SPIIRAS and Nokia Research Center. Some parts of the work have been sponsored by grants # 12-07-00298, # 12-07-00302, # 13-07-13159, and # 13-07-12095 of the Russian Foundation for Basic Research, project # 213 of the research program “Intelligent information technologies, mathematical modelling, system analysis and automation” of the Russian Academy of Sciences, and project 2.2 “Methodology development for building group information and recommendation systems” of the basic research program “Intelligent information technologies, system analysis and automation” of the Nanotechnology and Information technology Department of the Russian Academy of Sciences.
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Smirnov, A., Shilov, N., Kashevnik, A. (2015). Multilevel Self-organization in Smart Environment: Approach and Major Technologies. In: Fred, A., Dietz, J., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2013. Communications in Computer and Information Science, vol 454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46549-3_20
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