• DocumentCode
    2641606
  • Title

    Distributed Power-Management Techniques for Wireless Network Video Systems

  • Author

    Zamora, Nicholas H. ; Kao, Jung-Chun ; Marculescu, Radu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA
  • fYear
    2007
  • fDate
    16-20 April 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Wireless sensor networks operating on limited energy resources need to be power efficient to extend the system lifetime. This is especially challenging for video sensor networks due to the large volumes of data they need to process in short periods of time. Towards this end, this paper proposes two coordinated power management policies for video sensor networks. These policies are scalable as the system grows and flexible to video parameters and network characteristics. In addition to simulation results, the prototype demonstrates the feasibility of implementing these policies. Finally, the analytical framework we provide gives an upper bound for the achievable sleep fraction and insight into how adjusting select parameters will affect the performance of the power management policies
  • Keywords
    image sensors; low-power electronics; wireless sensor networks; distributed power-management; sleep fraction; system lifetime; video sensor networks; wireless network video systems; wireless sensor networks; Energy management; Energy resources; Performance analysis; Power system management; Sensor phenomena and characterization; Sleep; Upper bound; Virtual prototyping; Wireless networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation & Test in Europe Conference & Exhibition, 2007. DATE '07
  • Conference_Location
    Nice
  • Print_ISBN
    978-3-9810801-2-4
  • Type

    conf

  • DOI
    10.1109/DATE.2007.364653
  • Filename
    4211858