Querying context maps using relative timing predicates in pervasive environments

Vaskar Raychoudhury, Ajay D. Kshemkalyani, Jiannong Cao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationProc. of the 6th Int. Workshop on Middleware Tools, Services and Run-time Support for Networked Embedded Systems, MidSens'11 - Co-located with 12th ACM/IFIP/USENIX Int. Middleware Conf., Middleware'11
DOIs
Publication statusPublished - 1 Dec 2011
Event6th International Workshop on Middleware Tools, Services and Run-time Support for Networked Embedded Systems, MidSens'11 - Co-located with the 12th ACM/IFIP/USENIX International Middleware Conference, Middleware 2011 - Lisbon, Portugal
Duration: 12 Dec 201112 Dec 2011

Conference

Conference6th International Workshop on Middleware Tools, Services and Run-time Support for Networked Embedded Systems, MidSens'11 - Co-located with the 12th ACM/IFIP/USENIX International Middleware Conference, Middleware 2011
CountryPortugal
CityLisbon
Period12/12/1112/12/11

Keywords

  • context map
  • predicate detection
  • query
  • relative event detection
  • searching and browsing physical world

ASJC Scopus subject areas

  • Software

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