• DocumentCode
    125822
  • Title

    Femtocell based green health monitoring strategy

  • Author

    Mukherjee, Arjun ; De, Debashis

  • Author_Institution
    Dept. of Comput. Sci. & Eng., West Bengal Univ. of Technol., Kolkata, India
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper femtocell based mobile health monitoring scheme is proposed using mobile cloud computing. Body sensor network is used to capture the health information of a mobile user and then the information is sent to the mobile device which is registered under a femtocell. The health information is transferred to the femtocell where a health checking is done. If any abnormality is detected, the health data is transmitted to the cloud for access by the health centre. From the simulation results it is observed that femtocell based health monitoring approach reduces approximately 37.94-80.58%, 29.95-80% and 29.9-79.9% of power consumption respectively for accessing medium amount of data in cloud than using macrocell, microcell or picocell base station. Simulation results also present that for accessing large amount of data in cloud approximately 30-80% reduction in power consumption is achieved using femtocell than using macrocell, microcell and picocell base station.
  • Keywords
    body sensor networks; cloud computing; computerised monitoring; data communication; femtocellular radio; green computing; health care; mobile computing; telecommunication power management; abnormality detection; body sensor network; femtocell-based green health monitoring strategy; femtocell-based mobile health monitoring; health centre; health checking; health data transmission; health information; mobile cloud computing; mobile device; mobile user; power consumption; Base stations; Macrocell networks; Microcell networks; Monitoring; Power demand; Ultrafast electronics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929187
  • Filename
    6929187