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

Achouri Mounir, Alti Adel, Derdour Makhlouf, Laborie Sébastien and Roose Philippe
Additional contact information
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

International Journal of Ambient Computing and Intelligence (IJACI), 2019, vol. 10, issue 2, 91-111

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.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJACI.2019040107 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaci00:v:10:y:2019:i:2:p:91-111

Access Statistics for this article

International Journal of Ambient Computing and Intelligence (IJACI) is currently edited by Nilanjan Dey

More articles in International Journal of Ambient Computing and Intelligence (IJACI) from IGI Global
Bibliographic data for series maintained by Journal Editor ().