Team for Research in
Ubiquitous Secure Technology

SENSTRAC: Scalable Querying of SENSor Networks from Mobile Platforms Using TRACking-Style Queries.
Stefan Pleisch, Ken Birman

Citation
Stefan Pleisch, Ken Birman. "SENSTRAC: Scalable Querying of SENSor Networks from Mobile Platforms Using TRACking-Style Queries.". International Journal of Sensor Networks (IJSNet), Yang Xiao (ed.), Inderscience Publishers, 2006.

Abstract
Future applications running on mobile platforms will sometimes need to query sensors and track sensor data over time. This paper proposes a novel, but natural, solution to querying sensors from mobile platforms, based on the publishsubscribe paradigm. Various options are discussed and the most promising one is included into an implementation. Our evaluation focuses on scalability.

Electronic downloads

Citation formats  
  • HTML
    Stefan Pleisch, Ken Birman. <a
    href="http://www.truststc.org/pubs/143.html"
    >SENSTRAC: Scalable Querying of SENSor Networks from
    Mobile Platforms Using TRACking-Style Queries.</a>,
    International Journal of Sensor Networks (IJSNet), Yang Xiao
    (ed.), Inderscience Publishers, 2006.
  • Plain text
    Stefan Pleisch, Ken Birman. "SENSTRAC: Scalable
    Querying of SENSor Networks from Mobile Platforms Using
    TRACking-Style Queries.". International Journal of
    Sensor Networks (IJSNet), Yang Xiao (ed.), Inderscience
    Publishers, 2006.
  • BibTeX
    @inproceedings{PleischBirman06_SENSTRACScalableQueryingOfSENSorNetworksFromMobilePlatforms,
        author = {Stefan Pleisch and Ken Birman},
        title = {SENSTRAC: Scalable Querying of SENSor Networks
                  from Mobile Platforms Using TRACking-Style Queries.},
        booktitle = {International Journal of Sensor Networks (IJSNet)},
        editor = {Yang Xiao},
        organization = {Inderscience Publishers},
        year = {2006},
        abstract = {Future applications running on mobile platforms
                  will sometimes need to query sensors and track
                  sensor data over time. This paper proposes a
                  novel, but natural, solution to querying sensors
                  from mobile platforms, based on the
                  publishsubscribe paradigm. Various options are
                  discussed and the most promising one is included
                  into an implementation. Our evaluation focuses on
                  scalability.},
        URL = {http://www.truststc.org/pubs/143.html}
    }
    

Posted by Bill Hogan on 1 Dec 2006.
Groups: trust
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