Reasoning about uncertain contexts in pervasive computing environments

Anand Ranganathan; Jalal Al-Muhtadi; Roy H. Campbell

doi:10.1109/MPRV.2004.1316821

Reasoning about uncertain contexts in pervasive computing environments

Anand Ranganathan, Jalal Al-Muhtadi, Roy H. Campbell

Research output: Contribution to journal › Article › peer-review

Abstract

A prototype pervasive computing infrastructure, Gaia, which allows applications and services to reason about uncertainty, using an uncertainty model, is described. The model is based on a predicate representation of contexts and associated confidence values, and uses mechanisms like probabilistic logic, fuzzy logic, and Bayesian networks. Gaia's context infrastructure provides services and libraries that help entities acquire and reason about uncertain contextual information. Access control decisions in Gaia use fuzzy reasoning, and Bayesian network is used for troubleshooting the environment.

Original language	English (US)
Pages (from-to)	62-70
Number of pages	9
Journal	IEEE Pervasive Computing
Volume	3
Issue number	2
DOIs	https://doi.org/10.1109/MPRV.2004.1316821
State	Published - Apr 2004

ASJC Scopus subject areas

Software
Computer Science Applications
Computational Theory and Mathematics

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10.1109/MPRV.2004.1316821

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Reasoning about uncertain contexts in pervasive computing environments

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