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Efficient algorithms for leader election in radio networks
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Source Annual ACM Symposium on Principles of Distributed Computing archive
Proceedings of the twenty-first annual symposium on Principles of distributed computing table of contents
Monterey, California
SESSION: Session 2 table of contents
Pages: 51 - 57  
Year of Publication: 2002
ISBN:1-58113-485-1
Authors
Tomasz Jurdziński  Chemnitz University of Technology, Germany and Wrocław University, Poland
Mirosław Kutyłowski  Wrocław University of Technology, Wrocław, Poland and Adam Mickiewicz University, Poznań, Poland
Jan Zatopiański  Wrocław University, Wrocław, Poland
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): 6,   Downloads (12 Months): 41,   Citation Count: 4
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ABSTRACT

We present energy efficient algorithms for leader election in single channel single-hop radio networks with no collision detection. We present a deterministic solution with sublogarithmic energy cost (the best previous result was O(log n)) and show a double logarithmic lower bound. We prove that this lower bound holds in a randomized case, in a certain sense.For the case, when the number n of active stations can be approximated in advance, we show a randomized algorithm with energy consumption O(log* n) that yields a result with high probability (the best previous result was O(log log n)).


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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I. Chlamtac, S. Kutten, On Broadcasting in Radio Networks --- Problem Analysis and Protocol Design, IEEE Trans. on Commun. 33 (1985), 1240-1246.
 
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T. Jurdziński, M. Kutyłowski, J. Zatopiański, Weak Communication in Radio Networks, Euro-Par'2002, Lecture Notes in Computer Science, Springer-Verlag, accepted paper.
 
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K. Nakano, S. Olariu, Randomized leader election protocols for ad-hoc networks, Intern. Coll. on Structural Information and Communication Complexity (SIROCCO) '2000, Carleton Scientific, 253-267.
 
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A. C-C. Yao, Probabilistic computations: towards a unified measure of complexity, ACM-SIAM Symposium on Foundations of Computer Science (FOCS) '77, 222-227.

Collaborative Colleagues:
Tomasz Jurdziński: colleagues
Mirosław Kutyłowski: colleagues
Jan Zatopiański: colleagues