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A multi-layer framework for quality of context in ubiquitous context-aware systems

Asma Abdul Ghani Al-Shargabi (Department of Computer Science, University of Science and Technology, Yemen)
Francois Siewe (Software Technology Research Laboratory (STRL), Faculty of Technology, De Montfort University, Leicester, UK)

International Journal of Pervasive Computing and Communications

ISSN: 1742-7371

Article publication date: 4 June 2018

Issue publication date: 4 June 2018

102

Abstract

Purpose

This paper aims to introduce a comprehensive framework for quality of context in pervasive context-aware systems. The framework includes the context quality characteristics, the quality policy, the quality calculation methods and the quality control algorithm.

Design/methodology/approach

This study used the constructive research method to introduce the framework. The data of a context-aware flooding prediction system to evaluate the approach were used.

Findings

The framework improves the quality of captured context by resolving the missing, error context and the context conflicts using the quality characteristics and quality control process that are introduced in the framework.

Originality/value

This work is original. It is based on the author’s PhD work in De Montfort University.

Keywords

Citation

Al-Shargabi, A.A.G. and Siewe, F. (2018), "A multi-layer framework for quality of context in ubiquitous context-aware systems", International Journal of Pervasive Computing and Communications, Vol. 14 No. 2, pp. 165-196. https://doi.org/10.1108/IJPCC-D-17-00024

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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