DocumentCode
27996
Title
An Adaptive Architecture for Ambient Intelligence Based on Meta-modeling, Smart Agents, and Wireless Sensor Networks
Author
Restrepo, Silvia E. ; Pezoa, Jorge E. ; Ovalle Carranza, Demetrio A.
Author_Institution
Electr. Eng. Dept., Univ. de Concepcion, Concepcion, Chile
Volume
12
Issue
8
fYear
2014
fDate
Dec. 2014
Firstpage
1508
Lastpage
1514
Abstract
In this paper, an Ambient Intelligence (AmI) architecture for devising and implementing a smart laboratory in a university is presented. The architecture relies on a novel meta-model that abstracts the laboratory ambient using a context model, an adaptation model, an end-user model, and a domain model. Thus, the architecture offers, to the end-users, a set of adaptive AmI services that are supplied by smart agents and wireless sensor networks. The architecture was coded using SQLite, Jade, Protégé, and CLIPs and simulated under Oracle´s Solarium environment. The latency and scalability of the proposed architecture, as well as its ability to supply effectively the AmI services, were tested using both qualitative and quantitative standard performance metrics.
Keywords
ambient intelligence; computer aided instruction; educational institutions; laboratories; software agents; wireless sensor networks; AmI; CLIP; Jade; Oracle Solarium environment; Protege; SQLite; adaptation model; adaptive architecture; ambient intelligence; context model; domain model; end-user model; meta-modeling; smart agents; smart laboratory; university; wireless sensor networks; Adaptation models; Ambient intelligence; Computer architecture; Context modeling; Laboratories; Software; Wireless sensor networks; Ambient Intelligence; Smart Agents; Wireless Sensor Networks;
fLanguage
English
Journal_Title
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher
ieee
ISSN
1548-0992
Type
jour
DOI
10.1109/TLA.2014.7014521
Filename
7014521
Link To Document