A quality-aware context information selection based fuzzy logic in IOT environment

Joint Authors

Retima, Faridah
Bin Hirz Allah, Sabir
Kahloul, Laid
Kazar, Uqbah

Source

The International Arab Journal of Information Technology

Publisher

Zarqa University

Publication Date

2018-05-31

Country of Publication

Jordan

No. of Pages

10

Main Subjects

Information Technology and Computer Science

English Abstract

In the last decade, several works proposed their own approaches about the context management for the Internet of Things (IoT).

An important issue in such systems is faced by context data distribution with a sufficient level of quality i.e., Quality of Context (QoC).

In this paper, a fuzzy logic-based framework is proposed which handles QoC evaluating within distributed context manager and context-aware applications.

In addition, IoT contains massive context sources and data.

From this issue, we use MapReduce skyline to speed up the computation and introduce parallelism in the processing.

This article presents also a solutions provided by the Model Driven Approach (MDA) for modelling the captured context information from different context source.

Data Type

Conference Papers

Record ID

BIM-896569

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