Loss resilient strategy in body sensor networks

  • Authors:
  • Nick Read;Shih-Hsi Liu;Ming Li;Todd Wilson;Yu Cao;B. Prabhakaran

  • Affiliations:
  • California State University Fresno, Fresno, CA;California State University Fresno, Fresno, CA;California State University Fresno, Fresno, CA;California State University Fresno, Fresno, CA;University of Tennessee, Chattanooga, TN;The University of Texas at Dallas, Richardson, TX

  • Venue:
  • Proceedings of the 6th International Conference on Body Area Networks
  • Year:
  • 2011

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Abstract

Body sensor networks have gained continuous popularity in applications such as monitoring, sports training, and interactive gaming. However, data communication reliability is critical for the success of various applications such as ECG/EKG data analysis. In this paper, we propose a loss resilient strategy where prioritized scheduling and packet concatenation schemes are integrated for high network capacity and acceptable data reliability. The scheme is implemented at the application layer and therefore is compatible with existing standards such as IEEE 802.15.4. Performance evaluation on a real sensor test bed shows that the concatenation scheme significantly improve the performance and the prioritized scheduling ensures good reliability of high importance sensors.