• DocumentCode
    2231362
  • Title

    On Sensor Sampling and Quality of Information: A Starting Point

  • Author

    Bisdikian, Chatschik

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Hawthorne, NY
  • fYear
    2007
  • fDate
    19-23 March 2007
  • Firstpage
    279
  • Lastpage
    284
  • Abstract
    Many sensor-based applications (re)act following the detection of certain events of interest. Hence, the effectiveness of these applications depends on the quality of the information (QoI) provided by their sensor-based event detectors. In this paper, we derive relationships between the QoI attributes of timeliness and confidence and the operational characteristics of sensor systems and the events they detect. By building upon the Neyman-Pearson hypothesis testing procedure, we study the dependence of these characteristics and attributes on each other and establish their theoretical performance boundaries
  • Keywords
    sampling methods; testing; wireless sensor networks; Neyman-Pearson hypothesis testing procedure; quality of the information; sensor sampling; sensor-based event detectors; Acoustic measurements; Costs; Decision making; Event detection; Government; Sampling methods; Seismic measurements; Sensor systems; Testing; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops, 2007. PerCom Workshops '07. Fifth Annual IEEE International Conference on
  • Conference_Location
    White Plains, NY
  • Print_ISBN
    0-7695-2788-4
  • Type

    conf

  • DOI
    10.1109/PERCOMW.2007.88
  • Filename
    4144841