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基于快照的上下文一致性检测

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Event detection for context consistency is challenging in pervasive computing environments, in which contexts are often noisy owing to fragile connectivity, node frequent movement and resource constraints. As a recent scheme, CEDA --- Concurrent Event Detection for Asynchronous consistency checking (CEDA) --- concurrently detects context consistency by exploring the emph{happened-before} relation among events. Nevertheless, CEDA suffers from several problems --- unscalable from partial centralized detection manner, heavy computation complexity and false negative. To this end, we propose in this paper SECA scheme --- asynchronous event detection for context consistency in pervasive computing. It puts forward a new type logical clock --- snapshot timestamp --- to check event relations, which enables it to be efficient in scenarios where CEDA fails to. Meanwhile, SECA comes up with a lightweight update mechanism for the snapshot clock, which considerably reduces time and space complex

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