skip to main content
10.1145/1013329.1013333acmconferencesArticle/Chapter ViewAbstractPublication PagespadsConference Proceedingsconference-collections
Article

Simulation validation using direct execution of wireless Ad-Hoc routing protocols

Published:16 May 2004Publication History

ABSTRACT

Computer simulation is the most common approach to studying wireless ad-hoc routing algorithms. The results, however, are only as good as the models the simulation uses. One should not underestimate the importance of validation, as inaccurate models can lead to wrong conclusions. In this paper, we use direct-execution simulation to validate radio models used by ad-hoc routing protocols, against real-world experiments. This paper documents a common testbed that supports direct execution of a set of ad-hoc routing protocol implementations in a wireless network simulator. The testbed reads traces generated from real experiments, and uses them to drive direct-execution implementations of the routing protocols. Doing so we reproduce the same network conditions as in real experiments. By comparing routing behavior measured in real experiments with behavior computed by the simulation, we are able to validate the models of radio behavior upon which protocol behavior depends. We conclude that it is possible to have fairly accurate results using a simple radio model, but the routing behavior is quite sensitive to one of this model's parameters. The implication is that one should i) use a more complex radio model that explicitly models point-to-point path loss, or ii) use measurements from an environment typical of the one of interest, or iii) study behavior over a range of environments to identify sensitivities.

References

  1. X.A. Dimitropoulos and G. F. Riley. Creating realistic BGP models. MASCOTS'03, October 2003.Google ScholarGoogle ScholarCross RefCross Ref
  2. P. Gupta and P. R. Kumar. A system and traffic dependent adaptive routing algorithm for ad hoc networks. 36th IEEE Conference on Decision and Control, pages 2375-2380, December 1997.Google ScholarGoogle ScholarCross RefCross Ref
  3. J. Heidemann, N. Bulusu, J. Elson, C. Intanagonwiwat, K. Lan, Y. Xu, W. Ye, D. Estrin, and R. Govindan. Effects of details in wireless network simulation. SCS Multiconference on Distributed Simulation, pages 3-11, January 2001.Google ScholarGoogle Scholar
  4. D. B. Johnson. Validation of wireless and mobile network models and simulation. DARPA/NIST Network Simulation Validation Workshop, May 1999.Google ScholarGoogle Scholar
  5. B. Karp and H. T. Kung. Dynamic neighbor discovery and loopfree, multi-hop routing for wireless, mobile networks. Hardvard University, May 1998.Google ScholarGoogle Scholar
  6. B. Karp and H. T. Kung. Greedy perimeter stateless routing for wireless networks. MobiCom'00, pages 243-254, August 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. S. J. Lee, M. Gerla, and C. C. Chiang. On-demand multicast routing protocol in multihop wireless mobile networks. Mobile Networks and Applications, 7(6):441-453, December 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. J. Liu, L. F. Perrone, D. M. Nicol, M. Liljenstam, C. Elliott, and D. Pearson. Simulation modeling of large-scale adhoc sensor networks. European Simulation Interoperability Workshop (Euro-SIW'01), June 2001.Google ScholarGoogle Scholar
  9. M. Neufeld, A. Jain, and D. Grunwald. Nsclick: bridging network simulation and deployment. MSWiM'02, pages 74-81, September 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. C. E. Perkins and E. M. Royer. Ad hoc on-demand distance vector routing. 2nd IEEE Workshop on Mobile Computing Systems and Applications, pages 90-100, February 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. T. S. Rappaport. Wireless Communications, Principles and Practice. Prentice Hall, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. M. Takai, R. Bagrodia, K. Tang, and M. Gerla. Efficient wireless network simulations with detailed propagation models. Wireless Networks, 7(3):297-305, May 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. M. Takai, J. Martin, and R. Bagrodia. Effects of wireless physical layer modeling in mobile ad hoc networks. Mobi-Hoc'01, pages 87-94, October 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  1. Simulation validation using direct execution of wireless Ad-Hoc routing protocols

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        PADS '04: Proceedings of the eighteenth workshop on Parallel and distributed simulation
        May 2004
        218 pages
        ISBN:0769521118
        DOI:10.1145/1013329

        Copyright © 2004 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 May 2004

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • Article

        Acceptance Rates

        Overall Acceptance Rate398of779submissions,51%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader