• DocumentCode
    3725179
  • Title

    An efficient data offloading to cloud mechanism for smart healthcare sensors

  • Author

    Roopali;Raj Kumari

  • Author_Institution
    U.I.E.T., Panjab Univ., Chandigarh, India
  • fYear
    2015
  • Firstpage
    90
  • Lastpage
    95
  • Abstract
    The amalgamation of Mobile Cloud Computing (MCC) and Wireless Body Area Networks (WBANs) is the latest trend in the field of pervasive mobile health care monitoring systems. WBANs are low power sensor networks whose performance can be enhanced by integrating WBANs with cloud computing. Cloud Computing provides all the required resources (storage, memory, processing power) with minimum cost. An efficient health record management service is proposed in this article. It is based on real time data offloading to cloud from WBANs. The major goal of the proposed model is to effectively aggregate the data of patients in the various network segments in order to remove the communication overhead of headers and acknowledgements. A novel algorithm is proposed for data aggregation and offloading to the cloud. The proposed approach is energy efficient to deliver the data effectively to the cloud based health record management services. The performance of the proposed system is assessed on the basis of aggregation efficiency, total transmission time and end-to-end delay using matlab simulations. The experimental results show that the proposed model has added a minimum possible delay on the communication link and thus the data delivery has been efficient and quicker.
  • Keywords
    "Cloud computing","Intelligent sensors","Medical services","Monitoring","Mobile handsets","Computer architecture"
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Computing Technologies (NGCT), 2015 1st International Conference on
  • Type

    conf

  • DOI
    10.1109/NGCT.2015.7375089
  • Filename
    7375089