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Framework for Self-adaptation and Decision-Making of Smart Objects

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Computational Collective Intelligence (ICCCI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11684))

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Abstract

The Internet of Things (IoT) is at the heart of all modern technological developments. In fact, the number of connected objects doubles approximately every three years and in the long term, it is very likely that there will be digital in every object in our daily lives. Nowadays, we even talk about Internet of Everything (IoE) and we consider the interactions between different objects and those between the objects and persons. However, these connected objects cannot adapt their behavior to users activities and preferences. Relative to that contest, the contribution of this work consists in allowing objects connected in an IoT environment to be smarter and personalized to the needs and state of the user and other objects around them. More precisely, the idea is to add the aspect of self-adaptation and decision-making in the existing connected objects. We propose in this paper a framework for self-adaptation and decision making of smart objects called SADM-SmratObjects. This framework is applied on a case study of crisis management.

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Author information

Authors and Affiliations

  1. Faculty of Sciences of Tunis (FST), University of Tunis ElManar, Tunis, Tunisia

    Adil Chekati

  2. High National School of Engineers of Tunis (ENSIT), University of Tunis, Tunis, Tunisia

    Meriem Riahi

  3. Faculty of Sciences of Tunis (FST), University of Tunis ElManar, Tunis, Tunisia

    Faouzi Moussa

Authors
  1. Adil Chekati
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  2. Meriem Riahi
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  3. Faouzi Moussa
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Corresponding author

Correspondence to Adil Chekati .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. University of Pau and Pays de l'Adour, Pau, France

    Richard Chbeir

  3. University of Pau and Pays de l'Adour, Pau, France

    Ernesto Exposito

  4. University of Pau and Pays de l'Adour, Pau, France

    Philippe Aniorté

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Chekati, A., Riahi, M., Moussa, F. (2019). Framework for Self-adaptation and Decision-Making of Smart Objects. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11684. Springer, Cham. https://doi.org/10.1007/978-3-030-28374-2_26

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  • DOI: https://doi.org/10.1007/978-3-030-28374-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28373-5

  • Online ISBN: 978-3-030-28374-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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