• DocumentCode
    693553
  • Title

    Poster abstract: Connected wireless camera network deployment with visibility coverage

  • Author

    Hua Huang ; Chien-Chun Ni ; Xiaomeng Ban ; Jie Gao ; Shan Lin

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Temple Univ., Temple, TX, USA
  • fYear
    2013
  • fDate
    8-11 April 2013
  • Firstpage
    321
  • Lastpage
    322
  • Abstract
    First responder applications often require safety surveillance using wireless camera networks [1]. To ensure visual sensing coverage, it is crucial to place optical sensor nodes at proper locations. Under the scenario of energy constrained wireless camera deployment, the issue of communication cost should also be considered. Previous camera deployment research (e.g Art Gallery Problem) mainly concerned sensing coverage. One well-known solution for the art gallery problem is to triangulate the objective polygon and then select vertices to ensure full coverage. However, deploying cameras only in the vertices of polygon may induce inefficiency both in number of necessary cameras and overall communication cost. To reduce the cost, we propose two deployment algorithms: 1) connected visibility region planning algorithm for static deployment given the floor plan is known, and 2) connected visibility region tracking algorithm for the dynamic deployment during the run time. In extensive simulations with real floor plans, our algorithms outperform previous solutions significantly.
  • Keywords
    cameras; optical sensors; wireless sensor networks; connected visibility region planning algorithm; connected visibility region tracking algorithm; dynamic deployment; floor plan; optical sensor nodes; sensing coverage; static deployment; wireless camera networks; Algorithm design and analysis; Art; Cameras; Educational institutions; Sensors; Wireless communication; Wireless sensor networks; Camera networks; Connectivity; Sensing Coverage; Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks (IPSN), 2013 ACM/IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Type

    conf

  • DOI
    10.1109/IPSN.2013.6917596
  • Filename
    6917596