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On applying network coding to underwater sensor networks
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 1st ACM international workshop on Underwater networks table of contents
Los Angeles, CA, USA
POSTER SESSION: Posters table of contents
Pages: 109 - 112  
Year of Publication: 2006
ISBN:1-59593-484-7
Authors
Zheng Guo  University of Connecticut, Storrs, CT
Peng Xie  University of Connecticut, Storrs, CT
Jun-Hong Cui  University of Connecticut, Storrs, CT
Bing Wang  University of Connecticut, Storrs, CT
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 84,   Citation Count: 1
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ABSTRACT

High error rates and long propagation delays in underwater sensor networks call for efficient error-recovery schemes. We believe network coding is a promising technique for this purpose because of the broadcast nature of acoustic channels and computation capabilities at the sensor nodes. In this paper, we design a network coding scheme for underwater sensor networks and explore its performance through simulation. Our initial results indicate the benefits of using network coding for error recovery and the gains from coding at the source.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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J. Heidemann, Y. Li, A. Syed, J. Wills, and W. Ye, "Underwater sensor networking: Research challenges and potential applications," tech. rep., USC/ISI.
 
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J. H. Cui, J. Kong, M. Gerla, and S. Zhou, "Challenges: Building scalable mobile underwater wireless sensor networks for aquatic applications," in IEEE Network, Special Issue on Wireless Sensor Networking, June 2006.
 
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P. Xie, J. H. Cui, and L. Lao, "VBF: Vector-based forwarding protocol for underwater sensor networks," tech. rep., University of Connecticut, Computer Science and Engineering Dept., Sept. 2006.
 
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R. Ahlswede, N. Cai, S. R. Li, and R. W. Yeung, "Network information flow," IEEE Transactions on Information Theory, vol. 46, July 2000.
 
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C. Fragouli, J.-Y. L. Boudec, and J. Widmer, "Network coding: An instant primer,"
 
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T. Ho, R. Koetter, M. Medard, D. R. Karger, and M. Effros, "The benefits of coding over routing in a randomized setting," in International Symposium on Information Theory (ISIT), 2003.
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Collaborative Colleagues:
Zheng Guo: colleagues
Peng Xie: colleagues
Jun-Hong Cui: colleagues
Bing Wang: colleagues