• DocumentCode
    454257
  • Title

    Robust localization of multiple events in sensor networks

  • Author

    Chang, Chih-Chieh Geoff ; Snyder, Wesley E. ; Wang, Cliff

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC
  • Volume
    1
  • fYear
    2006
  • fDate
    5-7 June 2006
  • Abstract
    Localization of events is a canonical problem for sensor networks, especially for applications such as intrusion detection or neighborhood monitoring. We employ a general sensor model which models various types of sensor nodes. However, traditional triangulation method will be unsolvable when the sensor nodes are positioned on a line. To overcome such ill-conditioned cases, we can use MAP or MMSE methods to estimate event locations. Moreover, to locate multiple simultaneous events and overcome the ill-conditioned case when the sensor nodes are collinear, we need to solve a system of nonlinear equations. We propose a novel method which solves this system of nonlinear equations and multiple-event locations can be found. Experiments and error analysis of the method demonstrate the performance of our methods
  • Keywords
    error analysis; least mean squares methods; maximum likelihood estimation; nonlinear equations; nonlinear systems; wireless sensor networks; MAP method; MMSE method; error analysis; localization; maximum aposteriori; minimum mean square error; multiple-event locations; nonlinear equation system; sensor network; Acoustic arrays; Acoustic sensors; Collaborative work; Intelligent networks; Microphone arrays; Monitoring; Robustness; Sensor arrays; Sensor phenomena and characterization; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Networks, Ubiquitous, and Trustworthy Computing, 2006. IEEE International Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    0-7695-2553-9
  • Type

    conf

  • DOI
    10.1109/SUTC.2006.1636173
  • Filename
    1636173