• DocumentCode
    2056241
  • Title

    Static Worst-Case Lifetime Estimation of Vigil Net

  • Author

    Liu, Yu ; Zhang, Wei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Virginia Commonwealth Univ., Richmond, VA, USA
  • fYear
    2011
  • fDate
    4-5 Aug. 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Wireless sensor networks (WSNs) are increasingly used in our daily life. However, since the battery lifetime of a WSN node is restricted, the lifetime of a WSN is also limited. Thus, it is crucial to determine this limited lifetime in advance for preventing service interruptions. This paper proposes a feasible static analysis approach to estimate the worst-case lifetime of WSNs, with specific focus on Vigil Net. We statically estimate the lifetime of each node in Vigil Net with a fixed initial energy budget through a hybrid approach, which integrates an Integer Linear Programming (ILP) based method to obtain the worst-case CPU energy consumption and domain-specific scenarios analysis to compute the worst-case radio energy consumption. Our experimental results indicate that this static approach can safely and accurately estimate the worst-case lifetime for WSNs.
  • Keywords
    integer programming; linear programming; telecommunication network reliability; wireless sensor networks; VigilNet; WSN node; battery lifetime; domain-specific scenarios analysis; fixed initial energy budget; integer linear programming method; static analysis approach; static worst-case lifetime estimation; wireless sensor networks; worst-case CPU energy consumption; worst-case radio energy consumption; EPROM; Energy consumption; Equations; Mathematical model; Surveillance; Upper bound; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4577-1006-3
  • Electronic_ISBN
    978-0-7695-4466-3
  • Type

    conf

  • DOI
    10.1109/GreenCom.2011.9
  • Filename
    6061292