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Cross-Layer Simulation and Optimization for Mobile Ad-Hoc Networks

  • André-Luc Beylot
  • Riadh Dhaou
  • Vincent Gauthier
  • Monique Becker
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 162)

Abstract

This paper introduces cross-layer implementation with a multi-rate aware routing scheme and shows that SNR is an important information to use in a routing protocol. The existing routing protocol attempts to minimize the number of hops between source-destination pairs. We use a new metric definition to route the packets and to select the best available link along the path in a multi-rate protocol senario. The new metric is created with information coming from inter-layer interaction between the routing layer and the MAC layer. We use SNR as an information about link quality. We show through simulation that for communications using muti-rate protocol in ad hoc networks, throughput is highly affected as soon as the route goes through low-rate link.

Keywords

Ad hoc networks AODV Cross-Layers IEEE 802.11 Inter-layer interactions Performance QoS 

References

  1. [BAR04]
    D. Holmer B. Awerbuch and H. Rubens. High throughput route selection in multi-rate ad hoc wireless networks. In proceedings of Wireless On-demand Network Systems WONS 2004, Madonna di Campiglio, Italy, 2004.Google Scholar
  2. [BBD03]
    M. Becker, AL. Beylot, and R. Dhaou. Aggregation methods for performance evaluation of communication networks, performance evaluation. In proceedings of International Symposium of Performance evaluation-Stories and Perspectives, Vienna, Austria, Eds: G. Kotsis, pp 215–230, 2003.Google Scholar
  3. [BSK02]
    A. Sabharwal B. Sadeghi, V. Kanodia and E. Knightly. Opportunistic media access for multirate ad hoc networks. In proceedings of ACM MOBICOM 2002, Atlanta, GA, 2002.Google Scholar
  4. [DACM02]
    D. De Couto, D. Aguayo, B. Chambers, and R. Morris. Performance of multi-hop wireless networks: Shortest path is not enough. In The First Workshop on Hot Topics in Networks (HotNets-I), Princeton, New Jersey, October 2002. In proceedings of ACM SIGCOMM.Google Scholar
  5. [DRWT97]
    R. Dube, C. Rais, K. Wang, and S. Tripathi. Signal stability based adaptive routing (ssa) for ad hoc mobile networks. IEEE Personal Communication, 1997.Google Scholar
  6. [GAG03]
    M. Conti G. Anastasi, E. Borgia and E. Gregori. IEEE 802.11 ad hoc networks: Performance measurements. In proceedings of Distributed Computing Systems Workshops ICDCSW’03, Rhode Island, USA, May 2003.Google Scholar
  7. [Gau04]
    Vincent Gauthier. Adov-uu with cross-layer, 2004. French National Institute of Telecommuncation, http://www-rst.int-evry.fr/~gauthier/.Google Scholar
  8. [GCNB03]
    J. Gomez, A. Campbell, M. Naghshineh, and C. Bisdikian. Paro: Supporting dynamic power controlled routing in wireless ad hoc networks. ACM/Kluwer Journal on Wireless Networks (WINET), 9(5), 2003.Google Scholar
  9. [GHB01]
    N. H. Vaidya G. Holland and P. Bahl. A rate-adaptative mac protocol for multi-hop wireless networks. In proceedings of Mobile Computing and networking, 2001.Google Scholar
  10. [GK99]
    P. Gupta and P. Kumar. Capacity of wireless networks. Technical report, University of Illinois, Urbana-Champaign, 1999.Google Scholar
  11. [GW02]
    A. J. Goldsmith and S. Wicker. Design challenges for energy-constraind ad hoc wireless networks. IEEE Wireless Communication, 2002.Google Scholar
  12. [HLT02]
    E. Nordstrom H. Lundgren and C. Tschudin. Coping with communication gray zone in IEEE based ad hoc networks. In proceedings of WoWMoM, 2002.Google Scholar
  13. [KH95]
    R. Knopp and P. A. Humblet. Information capacity and power control in single-cell multiuser communication. In proceedings of IEEE International Communications Conference. Seattle, 1995.Google Scholar
  14. [KK03]
    V. Kawadia and P. R. Kumar. A cautionary perspective on cross layer design. Submitted to IEEE Wireless Communication Magazine, July 2003.Google Scholar
  15. [LN]
    Henrik Lundgren and Erik Nordstrem. Adov-uu. Uppsala University, http://user.it.uu.se/~henrikl/aodv/.Google Scholar
  16. [MBTB98]
    M. Moulki, AL. Beylot, L. Truffet, and M. Becker. An aggregation technique to evaluate the performance of a two-stage buffered atm switch. In Annals of Operations Research 79, pp 373–392, Baltzer, 1998.zbMATHMathSciNetCrossRefGoogle Scholar
  17. [PR99]
    C. E. Perkins and E. Royer. Ad-hoc on demand distance vector routing. In proceedings of 2nd IEEE Workshop Mobile Comp. Sys. and Apps. (WMCA), New Orleans, LA, Feb 1999.Google Scholar
  18. [PRDM00]
    C. E. Perkins, E. Royer, S. Das, and M. Marina. Performance comparaison of two on-demand routing protocol for ad hoc networks. In proceedings of IEEE INFOCOM, 2000.Google Scholar
  19. [SATT04]
    M. Saito, H. Aida, Y. Tobe, and H. Tokuda. proximity-based dynamic path shortening scheme for ubiquitous ad hoc. In proceedings of Distributed Computing Systems, 2004.Google Scholar
  20. [SS03]
    J. Chen S. Sheu, Y. Tsai. Mr2rp: The multi-rate and multi-range routing protocol for ieee 802.11 ad hoc wireless networks. Wireless Networks The Journal of Mobile Communication, Computation and Information, Volume 9 (Issue 2), 2003.Google Scholar
  21. [YSC03]
    J. Park Y. Seok and Y. Choi. Multi-rate aware routing protocol for mobile ad hoc networks. IEEE VTC 2003-Spring, Jeju, Korea, 2003.Google Scholar

Copyright information

© International Federation for Information Processing 2005

Authors and Affiliations

  • André-Luc Beylot
    • 1
  • Riadh Dhaou
    • 1
  • Vincent Gauthier
    • 2
  • Monique Becker
    • 2
  1. 1.IRIT/TeSA LabENSEEIHTToulouseFrance
  2. 2.Samovar Lab.GET/INTEvryFrance

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