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Many pervasive computing applications demand expressive situational awareness, which entails an entity learning detailed information about its immediate and surrounding context. Previous work has largely focused on individual entities' context, in this paper we present Grapevine, a framework for efficiently sharing context information in a localized region(More)
Mobile and pervasive computing applications depend on environmental awareness, not just of their own local system and immediate surroundings, but increasingly of the network as a whole. Traditional models of context do not sufficiently account for the trade-off between accuracy, availability, and efficiency when considering the mechanisms by which context(More)
Acquiring accurate context information is crucial to mobile and pervasive computing, and sharing context among nodes enables unique applications. As context information and the applications that consume it become increasingly diverse, they will need an efficient means to indicate tailored interest in this context information. This paper proposes a new(More)
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