IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v14y2018i1p1550147717750030.html
   My bibliography  Save this article

Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks

Author

Listed:
  • Ali Hassan Sodhro
  • Li Chen
  • Aicha Sekhari
  • Yacine Ouzrout
  • Wanqing Wu

Abstract

This article presents comparison between data rate or rate control, that is, video transmission rate control algorithm and transmission power control algorithms for two different cases. First, energy consumption due to high peak variable data rates in video transmission. Second, energy depletion due to high transmission power consumption and dynamic nature of wireless on-body channel. The former one focuses on constant (fixed) transmission power level and variable data rate (“severe†conditions), for example, medical monitoring of the emergency patients. The latter considers variable transmission power level and constant (fixed) data rate (“less severe†conditions), for example, electrocardiography measurement for patients in wireless body sensor networks. Besides, energy efficiency comparison analysis of battery-driven or video transmission rate control algorithm and transmission power control–driven or power control algorithm is presented. Finally, proposed algorithms are analyzed and categorized as energy-efficient and battery-friendly for medical applications in wireless body sensor networks.

Suggested Citation

  • Ali Hassan Sodhro & Li Chen & Aicha Sekhari & Yacine Ouzrout & Wanqing Wu, 2018. "Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(1), pages 15501477177, January.
  • Handle: RePEc:sae:intdis:v:14:y:2018:i:1:p:1550147717750030
    DOI: 10.1177/1550147717750030
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147717750030
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147717750030?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fenghua Li & Peida Xu & Shichun Zheng & Wenfeng Chen & Yang Yan & Suo Lu & Zhengkui Liu, 2018. "Photoplethysmography based psychological stress detection with pulse rate variability feature differences and elastic net," International Journal of Distributed Sensor Networks, , vol. 14(9), pages 15501477188, September.
    2. Sodhro, Ali Hassan & Luo, Zongwei & Sangaiah, Arun Kumar & Baik, Sung Wook, 2019. "Mobile edge computing based QoS optimization in medical healthcare applications," International Journal of Information Management, Elsevier, vol. 45(C), pages 308-318.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:14:y:2018:i:1:p:1550147717750030. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.