• DocumentCode
    1880814
  • Title

    Visualization of the sound pressure distribution in monitoring system of wireless sensor network

  • Author

    Tian Ma ; Jianguo Huang ; Ziliang Qiao ; Wei Gao

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Xi´an Univ. of Sci. & Technol., Xi´an, China
  • fYear
    2012
  • fDate
    12-15 Aug. 2012
  • Firstpage
    258
  • Lastpage
    261
  • Abstract
    In order to show the sound pressure distribution in monitoring system of wireless sensor network, a two-dimensional visualization method is proposed according to the positions and pressures of the sensor nodes and target. An expansion and smooth method of the convex hull is presented, which is used to calculate the positions of the boundary points of drawing region. The positions and pressures of the points within the region are calculated through bi-cubic interpolation. Then the Delaunay-triangulation is made on these points and the pressures are mapped into colors. Lastly, the sound pressure distribution plane is drawn though the OpenGL triangle primitives. The application result shows that the visualization method could meet the monitoring system´s requirements in real time interaction.
  • Keywords
    acoustic variables measurement; interpolation; mesh generation; sensor placement; smoothing methods; wireless sensor networks; Delaunay triangulation; OpenGL triangle primitive; bicubic interpolation; convex hull; expansion method; sensor nodes; smooth method; sound pressure distribution plane; sound pressure distribution visualization; two dimensional visualization method; wireless sensor network monitoring system; Algorithm design and analysis; Educational institutions; Indexes; Interpolation; Monitoring; Real-time systems; Wireless sensor networks; convex hull; sound pressure distribution; triangulation; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-2192-1
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2012.6335591
  • Filename
    6335591