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Hierarchical topology adaptation for distributed convergecast applications

Published:24 March 2014Publication History

ABSTRACT

Sink based spanning tree topologies are effectively used in convergecast applications for efficient packet delivery with minimum forwarding delay, eliminating packet loss or duplicate packet delivery. For tree based convergecast, this paper theoretically shows that there is a trade-off between the topology architecture and the network traffic load. Depending on this trade-off, a hierarchical topology adaptation scheme is proposed for the tree based convergecast to improve overall application performances. The effectiveness of the proposed scheme is analyzed using simulation results.

References

  1. T. Bernard, A. Bui, L. Pilard, and D. Sohier. A distributed clustering algorithm for large-scale dynamic networks. Cluster Computing, 15(4): 335--350, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. N. Bisnik and A. Abouzeid. Delay and throughput in random access wireless mesh networks. In Proc. of IEEE ICC, volume 1, pages 403--408, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  3. S. Chakraborty, S. Chakraborty, S. Nandi, and S. Karmakar. Dynamic tree switching for distributed message-passing applications. J. Net. and Syst. Mang. (Article in Press), 2013.Google ScholarGoogle Scholar
  4. S. Karmakar and A. Gupta. Adaptive broadcast by fault-tolerant spanning tree switching. J. Parallel Distrib. Comput., 70(9): 889--906, Sept. 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. J. Ye, K. Peng, C. Wang, Y. Wang, L. Zhang, X. Ma, and H. Jiang. Lifetime optimization by load-balanced and energy efficient tree in wireless sensor networks. Mob. Netw. Appl., 18(4): 488--499, Aug. 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Hierarchical topology adaptation for distributed convergecast applications

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              • Published in

                cover image ACM Conferences
                SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing
                March 2014
                1890 pages
                ISBN:9781450324694
                DOI:10.1145/2554850

                Copyright © 2014 ACM

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                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 24 March 2014

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                SAC '14 Paper Acceptance Rate218of939submissions,23%Overall Acceptance Rate1,650of6,669submissions,25%
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