FSCEP: a new model for context perception in smart homes - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

FSCEP: a new model for context perception in smart homes

Résumé

With the emergence of the Internet of Things and smart devices, smart homes are becoming more and more popular. The main goal of this study is to implement an event driven system in a smart home and to extract meaningful information from the raw data collected by the deployed sensors using Complex Event Processing (CEP). These high-level events can then be used by multiple smart home applications in particular situation identification. However, in real life scenarios, low-level events are generally uncertain. In fact, an event may be outdated, inaccurate, imprecise or in contradiction with another one. This can lead to misinterpretation from CEP and the associated applications. To overcome these weaknesses, in this paper, we propose a Fuzzy Semantic Complex Event Processing (FSCEP) model which can represent and reason with events by including domain knowledge and integrating fuzzy logic. It handles multiple dimensions of uncertainty, namely freshness, accuracy, precision and contradiction. FSCEP has been implemented and compared with a well known CEP. The results show how some ambiguities are solved
Fichier non déposé

Dates et versions

hal-01432245 , version 1 (11-01-2017)

Identifiants

Citer

Amina Jarraya, Nathan Ramoly, Amel Bouzeghoub, Khedija Arour, Amel Borgi, et al.. FSCEP: a new model for context perception in smart homes. International Conference on Cooperative Information Systems (COOPIS 2016), Oct 2016, Rhodes, Greece. pp.465 - 484, ⟨10.1007/978-3-319-48472-3_28⟩. ⟨hal-01432245⟩
126 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More