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Geographic gossip on geometric random graphs via affine combinations
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Annual ACM Symposium on Principles of Distributed Computing archive
Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing table of contents
Portland, Oregon, USA
SESSION: Brief announcements - track B table of contents
Pages: 388 - 389  
Year of Publication: 2007
ISBN:978-1-59593-616-5
Author
Hariharan Narayanan  University of Chicago, Chicago, IL
Sponsors
SIGOPS: ACM Special Interest Group on Operating Systems
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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ABSTRACT

In recent times, a considerable amount of work has been devoted to the development and analysis of gossip algorithms in Geometric Random Graphs. In a recently introduced model termed "Geographic Gossip," each node is aware of its position but possesses no further information. We develop a new protocol for Geographic Gossip, in which counter-intuitively, we use "non-convex affinecombinations" as updates in addition to convex combinations to accelerate the averaging process.


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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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.
 
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S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah. Mixing Times for Random Walks on Geometric Random Graphs. SIAM ANALCO 2005.
 
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P. Gupta and P. Kumar. The capacity of wireless networks. IEEE Transactions on Information Theory, 46(2):388--404, March 2000.
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Collaborative Colleagues:
Hariharan Narayanan: colleagues