Querying context maps using relative timing predicates in pervasive environments

  • Authors:
  • Vaskar Raychoudhury;Ajay D. Kshemkalyani;Jiannong Cao

  • Affiliations:
  • Indian Institute of Technology Roorkee, India;University of Illinois at Chicago, Chicago, IL;Kong Polytechnic University, Hung Hom, Kowloon, HK

  • Venue:
  • Proceedings of the 6th International Workshop on Middleware Tools, Services and Run-time Support for Networked Embedded Systems
  • Year:
  • 2011

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Abstract

Pervasive computing environments are composed of numerous smart entities (objects and human alike) which are interconnected through contextual links in order to create a Web of physical objects. The contextual links can be based on matching context attribute-values (e.g., co-location) or social connections. We call such a Web of smart physical objects a context map. Context maps can be used for context-aware search and browse of the physical world. This paper shows how to evaluate predicates on the context map, when the predicate is specified using complex timing relations.