• DocumentCode
    2719224
  • Title

    Reaction-diffusion based autonomous control of camera sensor networks

  • Author

    Hyodo, Katsuya ; Wakamiya, Naoki ; Murata, Masayuki

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita
  • fYear
    2007
  • fDate
    10-12 Dec. 2007
  • Firstpage
    97
  • Lastpage
    100
  • Abstract
    Although wireless camera sensor networks are useful and powerful means of monitoring and surveillance, the high volume of video data would cause serious network congestion and degradation of perceived video quality for the limited capacity of wireless communication. In this paper, we propose an autonomous control mechanism of video coding rate, where each node autonomously determines its coding rate based on information obtained through local communication. For this purpose, we applied a reaction-diffusion model, which explains the emergence of variety of animal coat patterns. A spot pattern of video coding rate, which is centered at the target position and spreads towards the moving direction, is generated through local interactions among neighboring nodes. Simulation results show the effectiveness of our proposal.
  • Keywords
    multimedia communication; reaction-diffusion systems; telecommunication congestion control; video cameras; video coding; video communication; wireless sensor networks; animal coat pattern; autonomous control mechanism; network congestion; reaction-diffusion model; video coding rate; video quality; wireless camera sensor network; wireless communication; Animals; Cameras; Capacitive sensors; Communication system control; Degradation; Monitoring; Surveillance; Video coding; Wireless communication; Wireless sensor networks; Biological system; Camera sensor networks; Reaction diffusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Models of Network, Information and Computing Systems, 2007. Bionetics 2007. 2nd
  • Conference_Location
    Budapest
  • Print_ISBN
    978-963-9799-05-9
  • Electronic_ISBN
    978-963-9799-05-9
  • Type

    conf

  • DOI
    10.1109/BIMNICS.2007.4610091
  • Filename
    4610091