Skip to main content
SpringerLink
Log in

Optimised Joint Channel Network Coding for Sensor Network with Correlated Sources

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

In this paper, we consider a Generalized Joint Channel Network Coding (GJCNC) scheme applied to Physical Layer Network Coding (PLNC) for a sensor network. For this purpose, M correlated sources desire to send information to one receiver by the help of a relay. The main goal is to estimate the information being sent from the last source at the destination by using the informations from sources and relay. For this purpose, we propose firstly a classic joint channel network coding at the relay which consider each source signal separately. Then, an optimization of this scheme is done by grouping by pair the nodes in the sensor network. The GJCNC decoding algorithm for each pair of sources is performed at the relay to improve performance. So, an iterative decoding scheme is proposed at the destination to extract the information sent from the last source. Simulation results show that by exploiting the correlation between sources, a significant gain can be achieved.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Slepian D, Wolf JK (1973) Noiseless coding of correlated information sources. IEEE Trans Inf Theory 19(4):471–480

    Article  MathSciNet  MATH  Google Scholar 

  2. Wyner A, Ziv J (1976) The rate-distortion function for source coding with side information at the decoder. IEEE Trans Inf Theory 22(1):1–10

    Article  MathSciNet  MATH  Google Scholar 

  3. Zhang S, Liew SC (2009) Channel Coding and Decoding in a Relay System Operated with Physical-Layer Network Coding. IEEE J Sel Areas Commun (JSAC) 27(5):788–796

    Article  Google Scholar 

  4. Wubben D and Yidong L (2010) “Generalized sum-product algorithm for joint channel decoding and physical-layer network coding in two-way relay systems.” Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE. IEEE

  5. Gastpar M and Vetterli M (2003) “Source-channel communication in Sensor Networks,” in Proc. 2nd International Workshop on Information Processing in Sensor Networks (IPSN’03)

  6. Pradhan SS, Ramchandran K (2000) Distributed source coding: symmetric rates and applications to sensor networks. Proc Data Compress Conf 2000:363–372

    Google Scholar 

  7. Pradhan SS, Kusuma J, Ramchandran K (2002) Distributed compression in a dense microsensor network. IEEE Signal Process Mag 19(2):51–60

    Article  Google Scholar 

  8. Hernaez M, Ser JD (2013) “On the Design of a Novel Joint Network-Channel Coding Scheme for the Multiple Access Relay Channel”, IEEE Journal on Selected Areas in Communications, VOL. 31, No. 8

  9. Wei S, Li J, Chen W and Su H (2012) “Wireless Adaptive Network Coding Strategy in Multiple-Access Relay Channels” , IEEE ICC. pp. 4589–4594.

  10. Ahlswede R, Li SYR, Yeung RW (2000) Network information flow. IEEE Trans Inf Theory 46(4):1204–1216

    Article  MathSciNet  MATH  Google Scholar 

  11. Pradhan S and Ramchandran K (1999) “Distributed source coding using syndromes (Discus): Design and construction,” in PROC. IEEE DCC, Mar. n pp. 158–167

  12. Wu Z and Chen X (2013) “An Optimized LDPC product network coding scheme in multiple access relay system”, International Conference on Computing, Networking and Communications (ICNC). pp. 295–299

  13. Hausl C and Hagenauer J (2006) “Iterative network and channel decoding for the two-way relay channel,” Communications, 2006. ICC ’06. IEEE International Conference on,, pp. 1568 – 1573, June

  14. Ke G (2010) “Improvement of physical-layer network coding method in relay networks,” Communications and Mobile Computing (CMC), 2010 International Conference,, pp. 457 – 460, 12–14 April

  15. SY R, Li, Yeung RW and Cai N (2003) “Linear network coding”, IEEE Transactions on Information Theory, vol. 49, pp. 371–381

  16. Katti S, Katabi D, Hu N, Rahul HS and Medard M (2008) “Xors in the air: practical wireless network coding”, IEEE/ACM Transactions on Networking (TON), vol. 16, no. 4, June

  17. Chachulskit S, Jennings M, Katti S and Katabi D (2007) “Trading structure for randomness in wireless opportunistic routing”, In in SIGCOMM

  18. Zhang S and Liew S , “Joint Design of Physical Layer Network Coding and Channel Coding”,http://adsabs.harvard.edu/abs/2008arXiv0807.4770Z

  19. Zhan A, He C (2008) Joint Design of Channel Coding and Physical Network Coding for Wireless Network, in IEEE Proc. International Conference on Neural Networks and Signal Processing, Zhejiang, China, June

    Google Scholar 

  20. Yang T, Collings IB (2014) “On the Optimal Design and Performance of Linear Physical-Layer Network Coding for Fading Two-Way Relay Channels”, IEEE Transactions on Wireless Communications . Pp. 956–967

  21. Meng W, Fang R, Li C, Yu Q (2012) “Soft network coding design in two-way relay channel”, IEEE Global Communications Conference (GLOBECOM), pp. 4441 – 4446.

  22. Chen Z, Lim TJ, Motani M (2013) “Two-way relay networks optimized for Rayleigh fading channels”, IEEE Global Communications Conference (GLOBECOM). pp. 3843 – 3848.

  23. Zid Y, Zaibi S and Bouallègue R (2015) “joint channel network coding for correlated sources”, in proc. 11th International Conference on Wireless Communications, Networking and Mobile Computing (WICOM 2015)

  24. Huang F, Wang S, Song Q, Guo L and Jamalipour A (2013) “Joint encoding and node-pair grouping for physical-layer network coding”, IEEE Globecom Workshops

  25. Yuping Wu, Danfeng Zhao, Ningning Tong (2013) “A New Joint LDPC-Network Coding Relay Cooperative Scheme”, International Journal of Advancements in Computing Technology . Jan 2013, Vol. 5 Issue 2,pp. 666–672.

Download references

Author information

Authors and Affiliations

  1. Sys’COM Laboratory, National Engineering School of Tunis, University of Tunis Elmanar, Tunis, Tunisia

    Sonia Zaibi Ammar & Youssef Zid

  2. Innov’COM Laboratory, Higher School of Communications of Tunis, University of Carthage, Carthage, Tunisia

    Ridha Bouallègue

Authors
  1. Sonia Zaibi Ammar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Youssef Zid
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ridha Bouallègue
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Youssef Zid.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ammar, S.Z., Zid, Y. & Bouallègue, R. Optimised Joint Channel Network Coding for Sensor Network with Correlated Sources. Mobile Netw Appl 21, 635–643 (2016). https://doi.org/10.1007/s11036-016-0750-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-016-0750-4

Keywords

Search

Navigation