• DocumentCode
    1636886
  • Title

    Event Processing Middleware for Wireless Sensor Networks

  • Author

    Selvakennedy, S. ; Röhm, Uwe ; Scholz, Bernhard

  • Author_Institution
    Univ. of Sydney, Sydney
  • fYear
    2007
  • Firstpage
    65
  • Lastpage
    65
  • Abstract
    With the growth in the computation capacity of sensor nodes, they are increasingly equipped to handle more complex functions. Moreover, the need to realize the complete loop of sense-control-actuate as the wired sensing facility, demands for more in-network processing. To this end, some primitives related to event data processing can be made available for event-driven applications. In this paper, we propose a middleware to provide efficient basic and higher-level event processing services through collaborative processing. As concrete service task instances, we propose an integrated algorithm that performs both event center localization and area estimation. To the best of our knowledge, this is the first such attempt. Using edge detection as a core middleware module, it is demonstrated that the middleware is able to support accurate estimation services for these event properties.
  • Keywords
    edge detection; middleware; wireless sensor networks; collaborative processing; complex functions; edge detection; event center localization; event data processing; event processing middleware; event-driven applications; in-network processing; integrated algorithm; sense-control-actuate; sensor nodes; wireless sensor networks; Collaboration; Concrete; Data processing; Event detection; Image edge detection; Middleware; Monitoring; Proposals; Sensor phenomena and characterization; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Workshops, 2007. ICPPW 2007. International Conference on
  • Conference_Location
    Xian
  • ISSN
    1530-2016
  • Print_ISBN
    0-7695-2934-8
  • Electronic_ISBN
    1530-2016
  • Type

    conf

  • DOI
    10.1109/ICPPW.2007.42
  • Filename
    4346423