• DocumentCode
    1254102
  • Title

    Information-driven dynamic sensor collaboration

  • Author

    Zhao, Feng ; Shin, Jaewon ; Reich, James

  • Author_Institution
    Syst. & Practices Lab., Xerox Palo Alto Res. Center, CA, USA
  • Volume
    19
  • Issue
    2
  • fYear
    2002
  • fDate
    3/1/2002 12:00:00 AM
  • Firstpage
    61
  • Lastpage
    72
  • Abstract
    This article overviews the information-driven approach to sensor collaboration in ad hoc sensor networks. The main idea is for a network to determine participants in a "sensor collaboration" by dynamically optimizing the information utility of data for a given cost of communication and computation. A definition of information utility is introduced, and several approximate measures of the information utility are developed for reasons of computational tractability. We illustrate the use of this approach using examples drawn from tracking applications
  • Keywords
    distributed processing; microsensors; signal processing; target tracking; telecommunication network routing; ad hoc sensor networks; approximate measures; collaborative information processing; collaborative signal processing; communication cost; computation cost; data routing; information driven sensor querying; information utility optimization; information-driven dynamic sensor collaboration; networked microsensors; tracking applications; Collaboration; Computer networks; Costs; Event detection; Fires; Monitoring; Sensor phenomena and characterization; Tin; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/79.985685
  • Filename
    985685