DOI QR코드

DOI QR Code

Buffer Management Algorithm for Performance Improvement in WBAN

WBAN 환경에서 성능향상을 위한 버퍼 관리 알고리즘

  • Received : 2015.02.16
  • Accepted : 2015.04.02
  • Published : 2015.05.25

Abstract

Wireless Body Area Network(WBAN) is a network standard around a human body which connects various medical sensor and devices It has to satisfy various demands such as data transmission rate, priority, and delay time. In this paper, considering a data priority and transmission delay time, is proposed to improve efficiency of WBAN service depending on congestion status of network. The proposed algorithm operates with adapted data removal probability according to data priority when the hub buffer is congested than before. And in the case of lower congestion within the hub buffer data is served considering data delay time. Through the comparison with other existing scheduling algorithms, it is confirmed that quality of WBAN service is improved due to lower data loss rate of medical data and less delay time in the proposed algorithm.

Wireless Body Area Network(WBAN)은 인체를 중심으로 다양한 의료 센서나 기기들을 연결하는 네트워크 표준으로써, 데이터의 전송률, 우선순위, 지연 시간등의 요구사항을 만족해야 한다. 본 논문에서는 네트워크의 상황에 따라 WBAN 데이터의 우선순위와 전송 지연 시간을 고려하여 WBAN 서비스의 성능을 향상할 수 있는 알고리즘을 제안한다. 이 알고리즘은 허브의 버퍼가 이전보다 혼잡해지면 데이터의 우선순위에 따라 데이터 제거 확률을 적용하여 데이터를 처리하고, 버퍼가 이전보다 원활해지면 데이터의 지연 시간을 고려하여 서비스한다. 기존 알고리즘과의 비교를 통해 제안한 알고리즘이 의료 데이터의 손실률을 낮추고 데이터의 지연 시간을 줄여 WBAN 서비스의 품질이 향상된 것을 확인할 수 있었다.

Keywords

References

  1. K. S. Kwak, S. Ullah and N. Ullah, "An Overview of IEEE 802.15.6 Standard," International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL), pp. 1-6, November 2010.
  2. 802.15.6-2012, "IEEE Standard for Local and metropolitan area netwroks - Part 15.6: Wireless Body Area Networks," February 2012.
  3. S. Drude, "Requirements and application scenarios for body area networks", in Proc. Mobile Wireless Commun. Summit, 16th IST, pp.1-5, July 2007.
  4. BAN application matrix, IEEE 802.15-07-0735-00-ban.
  5. SG BAN closing report for San Francisco, IEEE 802.15-07-0806-01-0ban. July 2007.
  6. S. Floyd and V. Jacobson, "Random Early Detection gateways for Congestion Avoidance", IEEE/ACM Trans. on Networking, pp. 397-413, August 1993.
  7. "Advanced QoS Services for the Intelligent Internet", Cisco white paper, http://www.cisco.com/warp/public/cc/pd/iosw/ ioft/ioqo/tech/qos_wp.html.
  8. S. Floyd and R. Gummadi, and S. Shenker "Adaptive RED: An algorithm for Increasing the Robustness of RED's Active Queue Management", AT&T Center for Internet Research at ICSI, August 2001.
  9. J. Orozco and D. Ros, "An Adaptive RIO(ARIO) Queue Management Algorithm", in Proceedings of QofIS 2003, LNCS 2811, pp. 11-20, 2003.
  10. W. Feng, D. D. Kandlur, D. Saha and K. G. Shin, "BLUE: A New Class of Active Queue Management Algorithms", Technical Report, UM CSE_TR_387_99, University of Michigan, 1999.
  11. A. Tang, J. Wang, and S. Low, "Understanding CHOKe: Throughput and Spatial Characteristics," IEEE/ACM Transactions on Networking, vol. 12, no. 4, pp. 694-707, August 2004. https://doi.org/10.1109/TNET.2004.833162
  12. F. A. Raddady and M. Woodward, "A New Adaptive Congestion Control Mechanism for the Internet Based on RED," 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW '07), vol. 2, pp.934-939, May 2007.
  13. B. Abbasov and S. Korukoglu, "Effective RED: An algorithm to improve RED's performance by reducing packet loss rate", Journal of Network and Computer Applications, vol. 32, issue. 3, pp. 703-709, May, 2009. https://doi.org/10.1016/j.jnca.2008.07.001
  14. S. N. S. Hashemi, S. Jamali, and H. Moratez, "A high-Performance Router: using fair-dropping policy,"Computer Communication &Collaboration vol. 2, Issue 2, 2014.