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Analysis of the impact of hello protocol parameters over a wireless network self-organization

Published:22 October 2007Publication History

ABSTRACT

The neighborhood discovery and its maintenance are very important in wireless networks for any applications, especially for routing and every self-* algorithm. Neighbor nodes are usually discovered thanks to the use of the HELLO protocol. This makes this HELLO protocol very important for wireless networks especially for self-organizing the network. Most of layer-3 protocols assume an ideal MAC layer. In such a case, HELLO protocol parameters have no impact over the self-organization. But this is not the case when considering realistic MAC and physical layers. In this paper, we investigate the impact of the parameters of such a protocol over a self-organization structure when considering realistic a MAC layer. We analyze theoretically and by simulations, the joint effect of the HELLO protocol parameters and of the MAC layer characteristics over several network self-organizations.

References

  1. A. Amis, R. Prakash, T. Vuong, and D. Huynh. Max-Min d-cluster formation in wireless ad hoc networks. In INFOCOM, March 2000.Google ScholarGoogle ScholarCross RefCross Ref
  2. P. Basu, N. Khan, and T. Little. A mobility based metric for clustering in mobile ad hoc networks. In DISC, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  3. S. K. Bose. An Introduction to Queueing Systems. Kluwer/Plenum Publishers, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  4. M. Chatterjee, S. K. Das, and D. Turgut. WCA: A weight based distributed clustering algorithm for mobile ad hoc networks. Journal of Cluster Computing (Special Issue on Mobile Ad hoc Networks), 5(2):193--204, April 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. C. Chaudet, D. Dhoutaut, and I. Guérin-Lassous. Experiments of some performance issues with IEEE 802.11b in ad hoc networks. In WONS, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. G. Chen, F. Garcia, J. Solano, and I. Stojmenovic. Connectivity-based k-hop clustering in wireless networks. In HICSS, January 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. B. N. Clark, C.J. Colbourn, and D.S. Johnson. Unit Disk Graphs. Discrete Math., 86(1-3), 1990. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. T. Clausen, P. Jacquet, A. Laouiti, P. Muhlethaler, A. Qayyum, and L. Viennot. Optimized Link State Routing Protocol, October 2003. RFC 3626. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. A. Ephremides, J.E. Wieselthier, and D.J. Baker. A design concept for reliable mobile radio networks with frequency hoping signaling. In IEEE 75, 1987.Google ScholarGoogle Scholar
  10. M. Gerla and J. T-C. Tsai. Multicluster, mobile, multimedia radio network. ACM/Baltzer Journal of Wireless Networks, 1(3), July 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. M. Heusse, F. Rousseau, G. Berger-Sabbatel, and A. Duda. Performance anomaly of 802.11b. In INFOCOM, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  12. N. Mitton, A. Busson, and E. Fleury. Self-organization in large scale ad hoc networks. In MedHocNet, June 2004.Google ScholarGoogle Scholar
  13. N. Mitton, E. Fleury, I. Guérin-Lassous, and S. Tixeuil. Self-stabilization in self-organized multihop wireless networks. In WWAN, June 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. J. Moy. OSPF - Open Shortest Path First, 1994. RFC 1583.Google ScholarGoogle Scholar
  15. N. Nikaein, H. Labiod, and C. Bonnet. DDR-distributed dynamic routing algorithm for mobile ad hoc networks. In MobiHoc, November 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Tomoyuki Ohta, Shinji Inoue, and Yoshiaki Kakuda. An adaptive multihop clustering scheme for highly mobile ad hoc networks. In ISADS, April 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. C. Perkins, E. Belding-Royer, and S. Das. Ad hoc On-demand Distance Vector Routing, July 2003. RFC 3561. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. T. Razafindralambo and I. Guérin-Lassous. Increasing fairness and efficiency using the MadMac protocol in ad hoc networks. In IFIP Networking, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. D. Stoyan, S. Kendall, and J. Mecke. Stochastic geometry and its applications, second edition. John Wiley & Sons, 1995.Google ScholarGoogle Scholar
  20. A. C. Viana, M. Dias de Armorim, S. Fdida, and J. Ferreira de Rezende. Self-organization in spontaneous networks: the approach of DHT-based routing protocols. Ad Hoc Networks Journal, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library

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        cover image ACM Conferences
        PE-WASUN '07: Proceedings of the 4th ACM workshop on Performance evaluation of wireless ad hoc, sensor,and ubiquitous networks
        October 2007
        104 pages
        ISBN:9781595938084
        DOI:10.1145/1298197

        Copyright © 2007 ACM

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        New York, NY, United States

        Publication History

        • Published: 22 October 2007

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