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 of a pervasive computing network, using that information to dynamically form groups defined by their shared situations, and assessing the aggregate context of that group. We provide an implementation of Grapevine and benchmark its performance in a live pervasive computing network deployment.
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