• DocumentCode
    658773
  • Title

    Coverage Estimation in Floorplan Visual Sensor Networks

  • Author

    Attar, Ahmad Movahedian ; Izadi, M. Hamed ; Movahedian, Maedeh ; Yarahmadian, Shantia

  • Author_Institution
    Electr. & Comput. Eng. Dept., Isfahan Univ. of Technol., Isfahan, Iran
  • fYear
    2013
  • fDate
    28-30 Oct. 2013
  • Firstpage
    146
  • Lastpage
    150
  • Abstract
    The issue of Coverage in visual sensor networks (VSNs) has attracted considerable attention due to sensors unique directional sensing characteristic. It answers the question that how well the target field is monitored by a network of sensors with video/image capturing capability. In floor plan scenario the network is to monitor a plane parallel to the sensors´ deployment plane. Coverage probability estimation based on both the sensors and the network related parameters is a fundamental issue in this field. For a large scale application in which the sensors´ deployment is done by dropping sensors from an airplane, random sensors´ placement and orientation according to their respective distribution is a practical assumption. Although some studies exist on the coverage problem of floor plan VSNs, none of them has derived a closed form solution for the coverage estimation, which is the main contribution of this paper. The Simulation results validated the proposed mathematical.
  • Keywords
    estimation theory; probability; sensor placement; VSN; coverage probability estimation; directional sensing characteristic; floor plan scenario; floorplan visual sensor networks; large scale application; random sensor placement; Cameras; Estimation; Mathematical model; Monitoring; Simulation; Visualization; Wireless sensor networks; Visual sensor network; coverage; floorplan;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013 Eighth International Conference on
  • Conference_Location
    Compiegne
  • Type

    conf

  • DOI
    10.1109/BWCCA.2013.32
  • Filename
    6690878