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A fuzzy service adaptation engine for context‐aware mobile computing middleware

Ronnie Cheung (Department of Computing, Hong Kong Polytechnic University, People's Republic of China)
Gang Yao (Department of Computing, Hong Kong Polytechnic University, People's Republic of China)
Jiannong Cao (Department of Computing, Hong Kong Polytechnic University, People's Republic of China)
Alvin Chan (Department of Computing, Hong Kong Polytechnic University, People's Republic of China)

International Journal of Pervasive Computing and Communications

ISSN: 1742-7371

Article publication date: 27 June 2008

Abstract

Purpose

Context‐aware mobile computing extends the horizons of the conventional computing model to a ubiquitous computing environment that serves users at anytime, anywhere. To achieve this, mobile applications need to adapt their behaviors to the changing context. The purpose of this paper is to present a generalized adaptive middleware infrastructure for context‐aware computing.

Design/methodology/approach

Owing to the vague nature of context and uncertainty in context aggregation for making adaptation decisions, the paper proposes a fuzzy‐based service adaptation model (FSAM) to improve the generality and effectiveness of service adaptation using fuzzy theory.

Findings

By the means of fuzzification of the context and measuring the fitness degree between the current context and the predefined optimal context, FSAM selects the most suitable policy to adopt for the most appropriate service. The paper evaluates the middleware together with the FSAM inference engine by using a Campus Assistant application.

Originality/value

The paper is of value in presenting a generalized adaptive middleware infrastructure for context‐aware computing and also comparing the performance of the fuzzy‐based solution with a conventional threshold‐based approach for context‐aware adaptation.

Keywords

Citation

Cheung, R., Yao, G., Cao, J. and Chan, A. (2008), "A fuzzy service adaptation engine for context‐aware mobile computing middleware", International Journal of Pervasive Computing and Communications, Vol. 4 No. 2, pp. 147-165. https://doi.org/10.1108/17427370810890256

Publisher

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Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited