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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Fuzzy Logic Based Utility Function for Context-Aware Adaptation Planning
verfasst von : Mounir Beggas, Lionel Médini, Frederique Laforest, Mohamed Tayeb Laskri
Erschienen in: Modeling Approaches and Algorithms for Advanced Computer Applications
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Context-aware applications require an adaptation phase to adapt to the user context. Utility functions or rules are most often used to make the adaptation planning or decision. In context-aware service based applications, context and Quality of Service (QoS) parameters should be compared to make adaptation decision. This comparison makes it difficult to create an analytical utility function. In this paper, we propose a fuzzy rules based utility function for adaptation planning. The large number of QoS and context parameters causes rule explosion problem. To reduce the number of rules and the processing time, a rules-utility function can be defined by a hierarchical fuzzy system. The proposed approach is validated by augmenting the MUSIC middleware with a fuzzy rules based utility function. Simulation results show the effectiveness of the proposed approach.
