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Propagation and leader election in a multihop broadcast environment

  • Israel Cidon
  • Osnat Mokryn
Contributed Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1499)

Abstract

The paper addresses the problem of solving classic distributed algorithmic problems under the practical model of Broadcast Communication Networks. Our main result is a new Leader Election algorithm, with O(n) time complexity and O(n · lg(n)) message transmission complexity. Our distributed solution uses a special form of the propagation of information with feedback (PIF) building block tuned to the broadcast media, and a special counting and joining approach for the election procedure phase. The latter is required for achieving the linear time.

It is demonstrated that the broadcast model requires solutions which are different from the classic point to point model.

Keywords

Broadcast networks distributed leader election 

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References

  1. 1.
    B. Awerbuch. Optimal distributed algorithms for minimum weight spanning tree, counting, leader election and related problems. Proc. 19th Symp. on Theory of Computing, pages 230–240, May 1987.Google Scholar
  2. 2.
    R. Bar-Yehuda, O. Goldreich, and A. Itai. On the time-complexity of broadcast in multi-hop radio networks: An exponential gap between determinism and randomization. Journal on Computer and System Sciences, 45:104–126, 1992.MATHMathSciNetCrossRefGoogle Scholar
  3. 3.
    A. Ben-David and M. Sidi. Collision resolution algorithms in multi-station packet radio network. IEEE Journal on Selected Areas in Communications, November 1983.Google Scholar
  4. 4.
    F. Chin and H.F. Ting. An almost linear time and o(vlogv+e) message distributed algorithm for minimum weight spanning trees. Proceedings of Foundations Of Computer Science (FOCS), October 1985.Google Scholar
  5. 5.
    I. Chlamtac and O. Weinstein. The wave expansion approach to broadcasting in multihop radio networks. IEEE Transaction on Communications, COM-39(3):426–433, 1991.CrossRefGoogle Scholar
  6. 6.
    I. Cidon and O. Mokryn. Distributed algorithms in a multihop broadcast environment. Technical Report — Center for Communication and Information Technologies, Technion, no. 241, 1998.Google Scholar
  7. 7.
    I. Cidon and M. Sidi. Distributed assignment algorithm for multihop packet radio networks. IEEE Transaction on Computers, 38(10):1353–1361, October 1989.CrossRefGoogle Scholar
  8. 8.
    M. Faloutsos and M. Molle. Optimal distributed algorithms for minimum spanning trees revisited. ACM Symp. on Principles of Distributed Computing, pages 231–237, May 1995.Google Scholar
  9. 9.
    R. Gallager, P. Humblet, and P. Spira. A distributed algorithm for minimum weight spanning trees. ACM Transactions on Programming languages and Systems, 4(1):66–77, January 1983.CrossRefGoogle Scholar
  10. 10.
    J.A. Garay, S. Kutten, and D. Peleg. A sub-linear time distributed algorithm for minimum-weight spanning trees. SIAM Journal on Computing, pages 302–316, 1998.Google Scholar
  11. 11.
    M.A. Marsen and D. Roffinella. Multichannel local area network protocols. IEEE Journal on Selected Areas in Communications, SAC-1(5):885–897, November 1983.CrossRefGoogle Scholar
  12. 12.
    A. Segall. Distributed network protocols. IEEE Transaction on Information Theory, IT-29(1):23–35, January 1983.MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Israel Cidon
    • 1
  • Osnat Mokryn
    • 1
  1. 1.Department of Electrical EngineeringTechnion - Israel Institute of TechnologyIsrael

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