• DocumentCode
    170530
  • Title

    Critical sensing range for mobile heterogeneous camera sensor networks

  • Author

    Yitao Hu ; Xinbing Wang ; Xiaoying Gan

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2014
  • fDate
    April 27 2014-May 2 2014
  • Firstpage
    970
  • Lastpage
    978
  • Abstract
    In camera sensor networks (CSNs), full view coverage, in which any direction of any point in the operational region is covered by at least one camera sensor, is of great significance since image shot at the frontal viewpoint considerably increases the possibility to recognize the object. However, finding the critical condition to achieve full view coverage in mobile heterogeneous CSNs remains an open question. In this paper, we analyze both the static and mobile random deployed camera sensor networks. A centralized parameter - equivalent sensing radius (ESR) - is defined to evaluate the critical requirement for asymptotic full view coverage in heterogeneous CSNs. We derive the critical sensing range for full view coverage under static model, 2-dimensional random walk mobility model, 1-dimensional random walk mobility model and random rotating model. We then discuss the impact of various mobility patterns on sensing energy consumption and study the relationship between ESR and percentage of full view coverage, and show that random walk mobility model can decrease the sensing energy consumption under certain delay tolerance. To our knowledge, our work is the very first that derive the critical condition to achieve full view coverage in mobile heterogeneous CSNs.
  • Keywords
    mobility management (mobile radio); object recognition; random processes; sensor placement; video cameras; visual communication; wireless sensor networks; ESR; asymptotic full view coverage; centralized parameter; critical sensing range; equivalent sensing radius; mobile heterogeneous CSN; mobile heterogeneous camera sensor network; mobile random deployed camera sensor network; mobility patterns; object recognition; random rotating model; random walk mobility model; static random deployed camera sensor network; Cameras; Computers; Mobile communication; Mobile computing; Numerical models; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2014 Proceedings IEEE
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2014.6848026
  • Filename
    6848026