• DocumentCode
    1696758
  • Title

    Contour line extraction with wireless sensor networks

  • Author

    Liao, Pei-Kai ; Chang, Min-Kuan ; Kuo, C. C Jay

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    5
  • fYear
    2005
  • Firstpage
    3202
  • Abstract
    An algorithm to extract contour lines using wireless sensor networks is proposed for environmental monitoring in this work. In contrast to previous work on edge detection that is primarily concerned with the region of a certain phenomenon, contour lines offer more detailed information about the underlying phenomenon such as signal amplitude, density and source location. A distributed algorithm to extract the contour line information from local measurements is developed so that the phenomenon can be monitored in the basestation without demanding excessive raw data transmission. Simulation results are provided to demonstrate the efficiency of the proposed algorithm.
  • Keywords
    condition monitoring; data acquisition; distributed algorithms; edge detection; feature extraction; wireless sensor networks; contour line extraction; data aggregation; distributed algorithm; edge detection; environmental monitoring; gradient estimation; signal amplitude; signal density; signal source location; wireless sensor networks; Data mining; Distributed algorithms; Electronic mail; Image edge detection; Monitoring; Pollution measurement; Sensor fusion; Sensor phenomena and characterization; Statistics; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2005. ICC 2005. 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-8938-7
  • Type

    conf

  • DOI
    10.1109/ICC.2005.1495012
  • Filename
    1495012