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Constant-time distributed dominating set approximation
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Source Annual ACM Symposium on Principles of Distributed Computing archive
Proceedings of the twenty-second annual symposium on Principles of distributed computing table of contents
Boston, Massachusetts
Pages: 25 - 32  
Year of Publication: 2003
ISBN:1-58113-708-7
Authors
Fabian Kuhn  ETH Zurich, Zurich, Switzerland
Roger Wattenhofer  ETH Zurich, Zurich, Switzerland
Sponsors
SIGOPS: ACM Special Interest Group on Operating Systems
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 33,   Citation Count: 33
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ABSTRACT

Finding a small dominating set is one of the most fundamental problems of traditional graph theory. In this paper, we present a new fully distributed approximation algorithm based on LP relaxation techniques. For an arbitrary parameter k and maximum degree Δ, our algorithm computes a dominating set of expected size O(kΔ2/k log Δ|DSOPT|) in O(k2) rounds where each node has to send O(k2Δ) messages of size O(logΔ). This is the first algorithm which achieves a non-trivial approximation ratio in a constant number of rounds.


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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L. Jia, R. Rajaraman, and R. Suel. An Efficient Distributed Algorithm for Constructing Small Dominating Sets. In Proc. of the 20th ACM Symposium on Principles of Distributed Computing (PODC), pages 33--42, 2001.
 
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CITED BY  33

Collaborative Colleagues:
Fabian Kuhn: colleagues
Roger Wattenhofer: colleagues