Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1160
Title: Service adaptation using fuzzy theory in context-aware mobile computing middleware
Authors: Cao, Jiannong
Xing, Na
Chan, Alvin T. S.
Feng, Yulin
Jin, Beihong
Subjects: Fuzzy set theory
Middleware
Mobile computing
Real-time and embedded systems
Artificial intelligence
System analysis and design
Issue Date: 2005
Publisher: IEEE Computer Society
Source: Proceedings : 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications : 17-19 August 2005, Hong Kong, China, p. 496-501
Abstract: Context-aware mobile computing middleware is designed to automatically adapt its behavior to changing environment. To achieve this, an important issue to be addressed is how to effectively select services for adaptation according to the user's current context. Existing work does not adequately address this issue. In this paper, we propose a Fuzzy-based Service Adaptation Model (FSAM) that can be used in context-aware middleware. We formulate the service adaptation process by using fuzzy linguistic variables and membership degrees to define the context situations and the rules for adopting the policies of implementing a service. We propose three fitness functions to calculate the fitness degree for each policy based on the distance of fuzzy status between the policy and the current context situation. The decision for service adaptation is achieved by selecting the policy with the largest fitness degree. A context-aware application scenario called Campus Assistant is used to exemplify the proposed service adaptation process and demonstrate its effectiveness.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1160
ISBN: 0-7695-2346-3
ISSN: 1533-2306
Appears in Collections:COMP Conference Papers & Presentations

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