• DocumentCode
    2398292
  • Title

    Architecting an Event-based Pervasive Sensing Environment in the Hospital

  • Author

    Wu, Bin ; George, Roy ; Shujaee, Khalil

  • Author_Institution
    Clark Atlanta Univ., GA
  • fYear
    2006
  • fDate
    Sept. 2006
  • Firstpage
    273
  • Lastpage
    277
  • Abstract
    Radio frequency identification (RFID) sensor networks are increasingly being applied to the hospital environment. Capture of fine grained operational data in this environment can promote meaningful process reengineering with the objective of improving efficiencies in operational aspects. The RFID sensor nodes generate large amounts of fine grained real time data, related to resources and processes within the hospital environment. Understanding and managing these data in the context of the enterprise applications pose challenges for the middleware which has to connect sensor networks with enterprise applications. In this paper, we propose an architectural solution based on the notion of an event. The primary characteristics of an event are discussed and a three layered event representation model is developed to map raw sensory information to semantic events. A generalized event ontology language is proposed
  • Keywords
    medical information systems; middleware; radiofrequency identification; ubiquitous computing; RFID sensor network; event representation model; event-based pervasive sensing; middleware; ontology language; radio frequency identification; Back; Blood; Hospitals; Intelligent sensors; Intelligent systems; Ontologies; Personnel; RFID tags; Radiofrequency identification; Sensor phenomena and characterization; Event Hierarchies; Event Ontology; Events; RFID; Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2006 3rd International IEEE Conference on
  • Conference_Location
    London
  • Print_ISBN
    1-4244-01996-8
  • Electronic_ISBN
    1-4244-01996-8
  • Type

    conf

  • DOI
    10.1109/IS.2006.348430
  • Filename
    4155437