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Trade-offs between the size of advice and broadcasting time in trees
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ACM Symposium on Parallel Algorithms and Architectures archive
Proceedings of the twentieth annual symposium on Parallelism in algorithms and architectures table of contents
Munich, Germany
SESSION: Broadcasting in networks table of contents
Pages 77-84  
Year of Publication: 2008
ISBN:978-1-59593-973-9
Authors
Emanuele G. Fusco  University of Rome "La Sapienza', Rome, Italy
Andrzej Pelc  Université du Québec en Outaouais, Gatineau, Canada
Sponsors
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
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ABSTRACT

We study the problem of the amount of information required to perform fast broadcasting in tree networks. The source located at the root of a tree has to disseminate a message to all nodes. In each round each informed node can transmit to one child. Nodes do not know the topology of the tree but an oracle knowing it can give a string of bits of advice to the source which can then pass it down the tree with the source message. The quality of a broadcasting algorithm with advice is measured by its competitive ratio: the worst case ratio, taken over n-node trees, between the time of this algorithm and the optimal broadcasting time in the given tree. Our goal is to find a trade-off between the size of advice and the best competitive ratio of a broadcasting algorithm for n-node trees. We establish such a trade-off with an approximation factor of Onε), for an arbitrarily small positive constant ε. This is the first problem for which a trade-off between the amount of provided information and the efficiency of the solution is shown for arbitrary size of advice.


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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P. Fraigniaud, C. Gavoille, D. Ilcinkas, and A. Pelc. Distributed computing with advice: Information sensitivity of graph coloring. In L. Arge, C. Cachin, T. Jurdzinski, and A. Tarlecki, editors, ICALP, volume 4596 of Lecture Notes in Computer Science, pages 231--242. Springer, 2007.
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P. Fraigniaud, D. Ilcinkas, and A. Pelc. Tree exploration with an oracle. In Rastislav Kralovic and Pawel Urzyczyn, editors, MFCS, volume 4162 of Lecture Notes in Computer Science, pages 24--37. Springer, 2006.
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D. R. Kowalski and A. Pelc. Optimal deterministic broadcasting in known topology radio networks. Distributed Computing, 19(3):185--195, 2007.
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N. Nisse and D. Soguet. Graph searching with advice. In G. Prencipe and S. Zaks, editors, SIROCCO, volume 4474 of Lecture Notes in Computer Science, pages 51--65. Springer, 2007.
 
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A. Pelc. Activating anonymous ad hoc radio networks. Distributed Computing, 19(5-6):361--371, 2007.
 
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P.J. Slater, E. J. Cockayne, and S. T. Hedetniemi. Information dissemination in trees. SIAM J. Comput., 10(4):692--701, 1981.
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REVIEW

"Goran Trajkovski : Reviewer"

The efficient propagation of information in a network of motes¿nodes in a wireless sensor network (WSN)¿is the focus of a lot of current research. The research spans a variety of realistic scenarios, ranging from central control of the process of   more...

Collaborative Colleagues:
Emanuele G. Fusco: colleagues
Andrzej Pelc: colleagues