Heuristics-Based Strategies for Resolving Context Inconsistencies in Pervasive Computing Applications
Heuristics-Based Strategies for Resolving Context Inconsistencies in Pervasive Computing Applications
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DOI：
10.1109/icdcs.2008.46
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发表时间：
2008-06
期刊：
影响因子：
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通讯作者：
Chang Xu;S. Cheung;W. Chan;Chunyang Ye
中科院分区：
文献类型：
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作者：
Chang Xu;S. Cheung;W. Chan;Chunyang Ye
上下文意识允许普遍的应用程序适应可变的计算环境。上下文，捕获环境特征的信息通常由于噪音而容易出错且不一致。已经提出了各种策略来实现自动环境不一致的解决。它们是根据可能在实践中不存在的不同假设进行的。这会导致应用程序对不同的范围的上下文感知。在本文中，我们研究了这种影响并提出了我们的新解决策略。我们进行了实验，将我们的工作与主要现有策略进行了比较。结果表明，我们的策略既可以有效地解决上下文不一致，又有望在使用上下文来支持应用程序方面。
Context-awareness allows pervasive applications to adapt to changeable computing environments. Contexts, the pieces of information that capture the characteristics of environments, are often error-prone and inconsistent due to noises. Various strategies have been proposed to enable automatic context inconsistency resolution. They are formulated on different assumptions that may not hold in practice. This causes applications to be less context-aware to different extents. In this paper, we investigate such impacts and propose our new resolution strategy. We conducted experiments to compare our work with major existing strategies. The results showed that our strategy is both effective in resolving context inconsistencies and promising in its support of applications using contexts.