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Priority based health data monitoring with IEEE 802.11af technology in wireless medical sensor networks.

In this work, the IEEE 802.11af technology-based wireless sensor network for health data monitoring with priority classes is proposed. In IEEE 802.11af technology, a White Space Device (WSD), a Station (STA), and an Access Point (AP) communicate through television white spectrum opportunistically wi...

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Published in:Medical & Biological Engineering & Computing Vol. 57; no. 12; pp. 2757 - 2770
Main Author: Bayrakdar, Muhammed Enes
Format: Journal Article
Published: Springer Nature Dec2019
Online Access:View this record in EBSCOhost
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      dt: Dec2019
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s11517-019-02060-4
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        atl: Priority based health data monitoring with IEEE 802.11af technology in wireless medical sensor networks.
      aug:
        au: Bayrakdar, Muhammed Enes
        affil: Computer Engineering Department, Duzce University, Duzce, Turkey
      sug:
        subj:
          Monitoring, Physiologic Equipment and Supplies
          Monitoring, Physiologic Methods
          Computer Communication Networks Equipment and Supplies
          Wireless Communications
          Medical Records, Personal
          Blood Pressure Physiology
          Algorithms
          Body Temperature
          Scales
      ab: In this work, the IEEE 802.11af technology-based wireless sensor network for health data monitoring with priority classes is proposed. In IEEE 802.11af technology, a White Space Device (WSD), a Station (STA), and an Access Point (AP) communicate through television white spectrum opportunistically without causing any harmful interference to licensed` services. In the proposed network; WSDs, STA, and AP employ Frequency Division Multiple Access (FDMA) technique with the aim of communicating through the white space spectrum determined by White Space Map (WSM). WSD collects health data such as body temperature and blood pressure from an implant or on-body sensors. The priority class is determined according to the emergency of a patient as red, yellow, and green. After obtaining the analytical model of the proposed network, the simulation model is carried out using Riverbed Modeler. The graphical results prove the validity and applicability of the proposed network in terms of delay (0.17 s) and energy consumption (4.7 mJ/s) without any spectrum cost for priority-based health data monitoring. Graphical abstract Cognitive radio based IEEE 802.11af environment for priority based health data monitoring.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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