• DocumentCode
    126789
  • Title

    Performance evaluation of the dependable properties of a Body Area Wireless Sensor Network

  • Author

    Balasubramanian, Vineeth ; Stranieri, Andrew

  • Author_Institution
    Centre for Inf. & Appl. Optimisation, Univ. of Ballarat, Ballarat, VIC, Australia
  • fYear
    2014
  • fDate
    6-8 Feb. 2014
  • Firstpage
    229
  • Lastpage
    234
  • Abstract
    Body Area Wireless Sensor Networks (BAWSNs) are self-organizing networks capable of monitoring health intrinsic data of a patient. BAWSNs extended with a healthcare application can be used to perform medical assessments by remotely monitoring patients. The accuracy of medical assessments fundamentally depends on the correctness of the data received from the BAWSN. However data errors may arise at the sensor or during transmission across the wireless sensor network Therefore it is imperative to measure the health intrinsic data of a patient precisely. The formulated measurable properties in our work precisely measure the performance of the BAWSN in a remote Healthcare Monitoring Application (HMA). In this paper, we collated various performances using the measurable properties in our real-time test-bed and presented a comprehensive evaluation of these properties in a BAWSN.
  • Keywords
    body area networks; body sensor networks; health care; patient monitoring; performance evaluation; telemedicine; BAWSNs; HMA; body area wireless sensor network; data errors; health intrinsic data monitoring; medical assessments; performance evaluation; real-time test-bed; remote healthcare monitoring application; self-organizing networks; Availability; Biomedical monitoring; Hospitals; Monitoring; Wireless sensor networks; BAWSN; availability; critical time; ehealth; reliability; remote healthcare monitoring application;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optimization, Reliabilty, and Information Technology (ICROIT), 2014 International Conference on
  • Conference_Location
    Faridabad
  • Print_ISBN
    978-1-4799-3958-9
  • Type

    conf

  • DOI
    10.1109/ICROIT.2014.6798319
  • Filename
    6798319