• DocumentCode
    124726
  • Title

    Mobile cloud computing based energy efficient offloading strategies for femtocell network

  • Author

    Mukherjee, Arjun ; Gupta, Puneet ; De, Debashis

  • Author_Institution
    Dept. of Comput. Sci. & Eng., West Bengal Univ. of Technol., Kolkata, India
  • fYear
    2014
  • fDate
    Feb. 27 2014-March 1 2014
  • Firstpage
    28
  • Lastpage
    35
  • Abstract
    Femtocell is a low power base station used to expand the capacity of mobile network. However when hundreds or thousands of femtocells operate together the total power consumption of the mobile network increases considerably. Mobile cloud computing is a technology that reduces the power consumption of mobile devices as well the mobile network. In this paper mobile cloud computing based offloading strategies are proposed for significant energy saving of a femtocell device. Three cases are presented where either data processing, or data encryption and hardware authentication or both are offloaded to the cloud. The power consumption models of the femtocell in these cases are demonstrated in this paper. Simulation results present that the proposed cases reduce the power consumption of the femtocell from 12.27-15.46%, 4.09-5.15% and 8.18-10.31% respectively.
  • Keywords
    cloud computing; energy conservation; femtocellular radio; mobile computing; telecommunication computing; data encryption; data processing; energy efficient offloading strategies; energy saving; femtocell network; hardware authentication; low power base station; mobile cloud computing; mobile network; Authentication; Cloud computing; Encryption; Hardware; Mobile communication; Power demand; Radio frequency; battery life; femtocell; mobile cloud computing; offloading; power consumption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications and Innovations in Mobile Computing (AIMoC), 2014
  • Conference_Location
    Kolkata
  • Type

    conf

  • DOI
    10.1109/AIMOC.2014.6785515
  • Filename
    6785515