Skip to main content
SpringerLink
Log in

Network Coding for Distributed Storage in Wireless Networks

  • Chapter
Networked Sensing Information and Control

We will address some of the problems related to storing information in multiple storage devices that are individually unreliable, and connected in a network. As an application consider a sensor network deployment in a remote and inaccessible environment where sensor nodes are taking measurements (possibly after processing) and storing data in the network, over long time periods. A data collector may appear at any location in the network and try to retrieve as much useful data as possible. Another scenario is a sensor network deployed in a time-critical or emergency situation (e.g. fire, flood, earthquake).

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. S. Acedanski, S. Deb, M. Médard, and R. Koetter. How good is random linear coding based distributed networked storage. In NetCod, 2005.

    Google Scholar 

  2. R. Ahlswede, N. Cai, S.-Y. R. Li, and R. W. Yeung. Network information flow. IEEE Trans. on Information Theory, 46:1204-1216, 2000.

    Article  MATH  MathSciNet  Google Scholar 

  3. D. Aldous and J. Fill. Reversible Markov Chains and Random Walks on Graphs. in preparation, 2005. (chapters available online), 2005.

    Google Scholar 

  4. N. Alon and J. Spencer. The Probabilistic Method. Wiley Interscience, New York, 2000.

    Book  MATH  Google Scholar 

  5. B.A. Bash, J.W. Byers, and J. Considine. Approximately uniform random sampling in sensor networks. In Proc. of the 1st Workshop on Data Management in Sensor Networks (DMSN ’04), August 2004.

    Google Scholar 

  6. S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah. Gossip algorithms: Design, analysis and applications. In Proceedings of the 24th Conference of the IEEE Communications Society (INFOCOM 2005), 2005.

    Google Scholar 

  7. S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah. Mixing times for random walks on geometric random graphs. In Proceedings of SIAM ANALCO, 2005.

    Google Scholar 

  8. C. Daskalakis, A.G. Dimakis, R. M. Karp, and M. J. Wainwright. Prob-abilistic analysis of linear programming decoding. In ACM-SIAM Sym-posium on Discrete Algorithms (SODA), January 2007.

    Google Scholar 

  9. A.G. Dimakis, P.B. Godfrey, M.J. Wainwright, and K. Ramchandran. Network coding for distributed storage systems. In Proceedings of IEEE Infocom, 2007.

    Google Scholar 

  10. A.G. Dimakis, V. Prabhakaran, and K. Ramchandran. Ubiquitous Acess to Distributed Data in Large-Scale Sensor Networks through Decentralized Erasure Codes. In IEEE/ACM Int. Symposium on Information Processing in Sensor Networks (IPSN), April 2005.

    Google Scholar 

  11. A.G. Dimakis, V. Prabhakaran, and K. Ramchandran. Decentralized erasure codes for distributed networked storage. In IEEE Transactions on Information Theory, June 2006.

    Google Scholar 

  12. A.G. Dimakis, V. Prabhakaran, and K. Ramchandran. Distributed foun- tain codes for networked storage. In Proceedings of IEEE ICASSP, 2006.

    Google Scholar 

  13. A.G. Dimakis, A.D. Sarwate, and M.J. Wainwright. Geographic gossip: Efficient aggregation for sensor networks. In IEEE/ACM Int. Symposium on Information Processing in Sensor Networks (IPSN), 2006.

    Google Scholar 

  14. D. Donoho. Compressed sensing. IEEE Trans. Info Theory, 52(4):1289-1306, April 2006.

    Article  MathSciNet  Google Scholar 

  15. C. Fragouli, J.Y. Le Boudec, and J. Widmer. Network coding: an instant primer. ACM SIGCOMM Computer Comm. Review, 2006.

    Google Scholar 

  16. D. Ganesan, D. Estrin, and J. Heidemann. Dimensions: Why do we need a new data handling architecture for sensor networks? In Proceedings of ACM Computer Communication Rev., Volume 33, Number 1, 2003.

    Google Scholar 

  17. P. Gupta and P.R. Kumar. The capacity of wireless networks. IEEE Transactions on Information Theory, 46(2):388-404, March 2000.

    Article  MATH  MathSciNet  Google Scholar 

  18. T. Ho, M. Médard, R. Koetter, D. Karger, M. Effros, J. Shi, and B. Leong. A random linear network coding approach to multicast. IEEE Transac-tions on Information Theory, October 2006.

    Google Scholar 

  19. C. Huang, M. Chen, and J. Li. Pyramid codes: Flexible schemes to trade space for access efficiency in reliable data storage systems. In IEEE International Symposium on Network Computing and Applications (NCA 2007), July 2007.

    Google Scholar 

  20. J.Gao, L.J. Guibas, J. Hershberger, and L. Zhang. Fractionally cascaded information in a sensor network. In IEEE/ACM Int. Symposium on Information Processing in Sensor Networks (IPSN), 2004.

    Google Scholar 

  21. A. Jiang. Network coding for joint storage and transmission with mini-mum cost. In International Symposium on Information Theory (ISIT), July 2006.

    Google Scholar 

  22. A. Kamra, J. Feldman, V. Misra, and D. Rubenstein. Growth codes: Maximizing sensor network data persistence. Proc. of ACM SIGCOMM, 2006.

    Google Scholar 

  23. S. Katti, H. Rahul, W. Hu, D. Katabi, M. Medard, and Jon Crowcroft. XORs in the air: Practical wireless network coding. Proc. of ACM SIGCOMM, 2006.

    Google Scholar 

  24. R. Koetter and M. Médard. An algebraic approach to network coding. Transactions on Networking, October 2003.

    Google Scholar 

  25. S.-Y. R. Li, R. W. Yeung, and N. Cai. Linear network coding. IEEE Trans. on Information Theory, 49:371-381, February 2003.

    Article  MATH  MathSciNet  Google Scholar 

  26. Y. Lin, B. Liang, and B. Li. Data persistence in large-scale sensor net- works with decentralized fountain codes. In Proceedings of IEEE Infocom, 2007.

    Google Scholar 

  27. M. Luby. LT codes. Proc. IEEE Foundations of Computer Science (FOCS), 2002.

    Google Scholar 

  28. M. Luby, M. Mitzenmacher, M.A. Shokrollahi, and D. Spielman. Im- proved low-density parity check codes using irregular graphs. IEEE Trans. Info. Theory, 47:585-598, February 2001.

    Article  MATH  MathSciNet  Google Scholar 

  29. D.S. Lun, N. Ratnakar, M. Médard, R. Koetter, D.R. Karger, T. Ho, E. Ahmed, and F. Zhao. Minimum-cost multicast over coded packet networks. IEEE Transactions on Information Theory, June 2006.

    Google Scholar 

  30. S. Madden and J. Gehrke. Query processing in sensor networks. In Pervasive Computing, 3(1), 2004.

    Google Scholar 

  31. R. Motwani and P. Raghavan. Randomized Algorithms. Cambridge University Press, Cambridge UK, 1995.

    MATH  Google Scholar 

  32. D. Petrović, K. Ramchandran, and J. Rabaey. Overcoming untuned ra- dios in wireless networks with network coding. IEEE Transactions on Information Theory, June 2006.

    Google Scholar 

  33. S. S. Pradhan and K. Ramchandran. Distributed source coding using syn- dromes (DISCUS): Design and construction. IEEE Trans. Info. Theory, 49(3):626-643, 2003.

    Article  MATH  MathSciNet  Google Scholar 

  34. M. Rabbat, J. Haupt, A. Singh, and R. Nowak. Decentralized compres- sion and predistribution via randomized gossiping. In IEEE/ACM Int. Symposium on Information Processing in Sensor Networks (IPSN), 2006.

    Google Scholar 

  35. A. Ramamoorthy, K. Jain, P.A. Chou, and M. Effros. Separating dis-tributed source coding from network coding. In 42nd Allerton Conference on Communication, Control and Computing, 2004.

    Google Scholar 

  36. S. Ratnasamy, B. Karp, L. Yin, F. Yu, D. Estrin, R. Govindan, and S. Shenker. GHT: A Geographic Hash Table for Data Centric Storage. In Proceedings of the 1st ACM int. workshop on Wireless sensor networks and applications, 2002.

    Google Scholar 

  37. I.S. Reed and G. Solomon. Polynomial codes over certain finite fields. In Journal of the SIAM, 1960.

    Google Scholar 

  38. Sujay Sanghavi. Intermediate performance of rateless codes. Information Theory and Applications (ITA), 2007.

    Google Scholar 

  39. O. Savas, M. Alanyali, and V. Saligrama. Randomized sequential algo- rithms for data aggregation in wireless sensor networks. In Conference on Information Sciences and Systems (CISS), 2006.

    Google Scholar 

  40. A. Shokrollahi. Raptor codes. IEEE Trans. on Information Theory, June 2006.

    Google Scholar 

  41. W. Wang, M. Garofalakis, and K. Ramchandran. Distributed sparse ran- dom projections for refinable approximation. In IEEE/ACM Int. Sym-posium on Information Processing in Sensor Networks (IPSN), 2007.

    Google Scholar 

  42. Hakim Weatherspoon and John D. Kubiatowicz. Erasure coding vs. repli-cation: a quantitiative comparison. In Proc. IPTPS, 2002.

    Google Scholar 

  43. D. H. Wiedemann. Solving sparse linear equations over finite fields. In IEEE Transactions on Information Theory, 1986.

    Google Scholar 

  44. C. Wu and B. Li. Echelon: Peer-to-peer network diagnosis with network coding. Fourteenth IEEE International Workshop on Quality of Service (IWQoS), 2006.

    Google Scholar 

  45. Y. Wu. On constructive multi-source network coding. In International Symposium on Information Theory (ISIT), July 2006.

    Google Scholar 

  46. Y. Wu, V. Stankovic, Z. Xiong, and S.-Y. Kung. on practical design for joint distributed source and network coding. In Proc. 1st Workshop on Network Coding, Theory, and Applications (NetCod), April 2005.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, University of California, 94704, Berkeley, CA, USA

    Alexandros G. Dimakis & Kannan Ramchandran

Authors
  1. Alexandros G. Dimakis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kannan Ramchandran
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Boston University, 8 Saint Mary’s Street, 02215, Boston, MA, USA

    Venkatesh Saligrama

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Dimakis, A.G., Ramchandran, K. (2008). Network Coding for Distributed Storage in Wireless Networks. In: Saligrama, V. (eds) Networked Sensing Information and Control. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-68845-9_5

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-68845-9_5

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-68843-5

  • Online ISBN: 978-0-387-68845-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation