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A New Two-Level Clustering Approach for Situations Management in Distributed Smart Environments

Author

Listed:
  • Achouri Mounir

    (LAMIS Laboratory University of Tebessa, Tebessa, Algeria)

  • Alti Adel

    (LRSD, University Ferhat Abbas SETIF - 1, Sétif, Algeria)

  • Derdour Makhlouf

    (LRS Laboratory University of Annaba, Tebessa, Algeria)

  • Laborie Sébastien

    (UNIV PAU & PAYS ADOUR / E2S UPPA, Anglet, France)

  • Roose Philippe

    (LIUPPA Laboratory IUT of Bayonne, Anglet, France)

Abstract

In the field of smart environments, many devices and multimedia-oriented connected objects have gained a significant attention in recent years. There is a critical need to offer to users flexible and efficient service selection among a large set of candidates based on their surrounding environments, the user's current needs and situations. This article aims to provide a new Generic Context-aware Profile ONTOlogy (GCxPOnto) for a semantic description of heterogeneous profiles with a situations management facility related to smart environments. Based on the GCxPOnto ontology model, a two-layered architecture was proposed. It includes a local server with a sematic profile modeling and a central Cloud that provides efficient situation management and good scalability. This article is divided into three phases: profile clustering, situation management, and multimedia information dissemination related to smart services. The experimental results show a good response time and an enhanced situational accuracy.

Suggested Citation

  • Achouri Mounir & Alti Adel & Derdour Makhlouf & Laborie Sébastien & Roose Philippe, 2019. "A New Two-Level Clustering Approach for Situations Management in Distributed Smart Environments," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 10(2), pages 91-111, April.
    • Handle: RePEc:igg:jaci00:v:10:y:2019:i:2:p:91-111
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