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Reasoning about Context in Uncertain Pervasive Computing Environments

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Smart Sensing and Context (EuroSSC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5279))

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Abstract

Context-awareness is a key to enabling intelligent adaptation in pervasive computing applications that need to cope with dynamic and uncertain environments. Addressing uncertainty is one of the major issues in context-based situation modeling and reasoning approaches. Uncertainty can be caused by inaccuracy, ambiguity or incompleteness of sensed context. However, there is another aspect of uncertainty that is associated with human concepts and real-world situations. In this paper we propose and validate a Fuzzy Situation Inference (FSI) technique that is able to represent uncertain situations and reflect delta changes of context in the situation inference results. The FSI model integrates fuzzy logic principles into the Context Spaces (CS) model, a formal and general context reasoning and modeling technique for pervasive computing environments. The strengths of fuzzy logic for modeling and reasoning of imperfect context and vague situations are combined with the CS model’s underlying theoretical basis for supporting context-aware pervasive computing scenarios. An implementation and evaluation of the FSI model are presented to highlight the benefits of the FSI technique for context reasoning under uncertainty.

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Author information

Authors and Affiliations

  1. Center for Distributed Systems and Software Engineering, Monash University, Australia

    Pari Delir Haghighi, Shonali Krishnaswamy, Arkady Zaslavsky & Mohamed Medhat Gaber

Authors
  1. Pari Delir Haghighi
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  2. Shonali Krishnaswamy
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  3. Arkady Zaslavsky
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  4. Mohamed Medhat Gaber
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Editor information

Editors and Affiliations

  1. Wearable Computing Laboratory, Institut für Elektronik,, ETH Zürich, Gloriastrasse 35, 8092, Zürich, Switzerland

    Daniel Roggen

  2. Wearable Computing Laboratory, Institut für Elektronik, ETH Zürich, Gloriastrasse 35, 8092, Zürich, Switzerland

    Clemens Lombriser  & Gerhard Tröster  & 

  3. InfoLab 21, Computing Department, Lancaster University, LA1 4WA, Lancaster, UK

    Gerd Kortuem

  4. Department of Computer Science, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands

    Paul Havinga

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© 2008 Springer-Verlag Berlin Heidelberg

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Delir Haghighi, P., Krishnaswamy, S., Zaslavsky, A., Gaber, M.M. (2008). Reasoning about Context in Uncertain Pervasive Computing Environments. In: Roggen, D., Lombriser, C., Tröster, G., Kortuem, G., Havinga, P. (eds) Smart Sensing and Context. EuroSSC 2008. Lecture Notes in Computer Science, vol 5279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88793-5_9

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  • DOI: https://doi.org/10.1007/978-3-540-88793-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88792-8

  • Online ISBN: 978-3-540-88793-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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