The Journal of Korea Institute of Information, Electronics, and Communication Technology (한국정보전자통신기술학회논문지)

Korea Information Electronic Communication Technology (한국정보전자통신기술학회)
권호 표지
DOI QR코드

DOI QR Code

On-the-Fly Belief Propagation Decoding of Decentralized Luby Transform Codes for Distributed Storage in a Small-Scale Wireless Sensor Network

소규모 무선 센서 네트워크에서 분산 저장을 위한 LT 부호의 OBP 복호

  • Cheong, Ho-Young (Department of Information and Communication Engineering, Namseoul University)
  • Received : 2016.10.09
  • Accepted : 2016.10.25
  • Published : 2016.10.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper I analyzed two decoding algorithms of decentralized LT codes for distributed storage by simulations in small-scale wireless sensor network. From the simulation results we can see that when the decoding ration is above 2.0, the successful decoding probability of OBP decoding is about 99%, while that of BP decoding is below 50% with n=100, and about 70% with n=200. We showed that OBP decoding algorithm is an efficient decoding scheme for decentralized LT codes for distributed storage in small-scale wireless sensor network.

본 논문에서는 소규모 무선 센서 네트워크에서 데이터 저장을 위한 분산 LT 부호의 2 가지 복호 알고리즘의 성능을 시뮬레이션을 통해 분석하였다. 시뮬레이션 결과 복호율이 2.0 이상일 때 OBP 복호 알고리즘의 복호 성공 확률은 약 99%에 이르지만, BP 복호 방식의 경우 n=100일 때 약 50%를 하회하며 n=200일 때 약 70%에 이르는 것을 볼 수 있다. 따라서 소규모 무선 센서 네트워크에서 분산 저장을 위한 LT 부호의 복호 방식은 OBP 복호 방식이 크게 유리함을 알 수 있다.

Keywords

References

  1. Dejan Vukobratovic, Cedomir Stefanovic, Vladimir Cmojevic, Francesco Romano Fantacci, "Rateless Packet Approach for Data Gathering in Wireless Sensor Networks," IEEE Journal on Selected Areas in Communications Volume: 28, Issue: 7, September 2010
  2. C. Raghavendra, K. Sivalingam, and T. Znati, Wireless Sensor Networks. New York: Springer, 2004.
  3. A. G. Dimakis, V. Prabhakaran, and K. Ramchandran, "Distributed fountain codes for networked storage," in Proc. of 31st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'06), Toulouse, France, May, 2006.
  4. Zhenning Kong, Salah A. Aly, Emina Soljanin, " Decentralized Coding Algorithms for Distributed Storage in Wireless Sensor Networks," IEEE Journal on Selected Areas in Communications, Volume: 28, Issue: 2, February 2010.
  5. A. Kamra, V. Misra, J. Feldman, and D. Rubenstein, "Growth codes: Maximizing sensor network data persistence," in Proc. of ACM Sigcom' 06, Pisa, Italy, September, 2006.
  6. Samira Chouikhi, Ines El Korbia, Yacine Ghamri-Doudanec, Leila Azouz Saidane, "A Survey on Fault Tolerance in Small and Large Scale Wireless Sensor Networks," Computer Communications, Volume 69, 15 September 2015, pp. 22-37. https://doi.org/10.1016/j.comcom.2015.05.007
  7. C. Avin and G. Ercal, "On the cover time of random geometric graphs," in Proc. 32nd International Colloquium of Automata, Languages and Programming (ICALP'05), Lisboa, Portugal, pp. 677-689, July, 2005.
  8. M. Luby, "LT Codes," Proc. of the 43rd Annual IEEE Symp. on Foundations of Comp. Sc., pp 271-280, Vancouver, Canada, November 2002
  9. Valerio Bioglio, Marco Grangetto, Rossano Gaeta, Matteo Sereno, "On the fly Gaussian Elimination for LT Codes," IEEE Communications Letters, Volume: 13, Issue: 12, December 2009, pp 935-955. https://doi.org/10.1109/LCOMM.2009.12.091170
  10. Hoyoung Cheong,"An Improved Belief Propagation Decoding for LT Codes,"Journal of KIIECT, Vol.7 No. 4, Dec. 2014, pp. 223-228.