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Experimental evaluation of wireless simulation assumptions

Published:04 October 2004Publication History

ABSTRACT

All analytical and simulation research on ad~hoc wireless networks must necessarily model radio propagation using simplifying assumptions. We provide a comprehensive review of six assumptions that are still part of many ad hoc network simulation studies, despite increasing awareness of the need to represent more realistic features, including hills, obstacles, link asymmetries, and unpredictable fading. We use an extensive set of measurements from a large outdoor routing experiment to demonstrate the weakness of these assumptions, and show how these assumptions cause simulation results to differ significantly from experimental results. We close with a series of recommendations for researchers, whether they develop protocols, analytic models, or simulators for ad~hoc wireless networks.

References

  1. K. Fall and K. Varadhan. The ns Manual, April 14 2002. www.isi.edu/nsnam/ns/ns-documentation.html.Google ScholarGoogle Scholar
  2. G. Gaertner and V. Cahill. Understanding link quality in 802.11 mobile ad hoc networks. IEEE Internet Computing, Jan/Feb 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. D. Ganesan, B. Krishnamachari, A. Woo, D. Culler, D. Estrin, and S. Wicker. Complex behavior at scale: An experimental study of low-power wireless sensor networks. Technical Report UCLA/CSD-TR 02-0013, UCLA Computer Science, 2002.Google ScholarGoogle Scholar
  4. R. S. Gray, D. Kotz, C. Newport, N. Dubrovsky, A. Fiske, J. Liu, C. Masone, S. McGrath, and Y. Yuan. Outdoor experimental comparison of four ad hoc routing algorithms. In Proceedings of the MSWiM 2004, Oct. 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. J. Heidemann, N. Bulusu, J. Elson, C. Intanagonwiwat, K. chan Lan, Y. Xu, W. Ye, D. Estrin, and R. Govindan. Effects of detail in wireless network simulation. In Proceedings of the SCS Multiconference on Distributed Simulation, pages 3--11, Phoenix, Arizona, January 2001. Society for Computer Simulation.Google ScholarGoogle Scholar
  6. D. Kotz, C. Newport, R. S. Gray, J. Liu, Y. Yuan, and C. Elliott. Experimental evaluation of wireless simulation assumptions. Technical Report TR2004-507, Dept. of Computer Science, Dartmouth College, June 2004.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. W. C. Y. Lee. Mobile communications engineering. McGraw-Hill, 1982. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. J. Liu, Y. Yuan, D. M. Nicol, R. S. Gray, C. C. Newport, D. Kotz, and L. F. Perrone. Simulation validation using direct execution of wireless ad-hoc routing protocols. In PADS'04, pages 7--16, May 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. M. K. Marina and S. R. Das. Routing performance in the presence of unidirectional links in multihop wireless networks. In MobiHoc'02, pages 12--23, Lausanne, Switzerland, June 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. K. Pawlikowski, H.-D. Jeong, and J.-S. Lee. On credibility of simulation studies of telecommunication networks. IEEE Communications, 40(1):132--139, January 2002. 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, J. Martin, and R. Bagrodia. Effects of wireless physical layer modeling in mobile ad hoc networks. In MobiHoc '01, pages 87--94, Oct. 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. G. Zhou, T. He, S. Krishnamurthy, and J. A. Stankovic. Impact of radio irregularity on wireless sensor networks. In MobiSys '04, pages 125--138, June 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library

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              cover image ACM Conferences
              MSWiM '04: Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
              October 2004
              334 pages
              ISBN:1581139535
              DOI:10.1145/1023663

              Copyright © 2004 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 4 October 2004

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              MSWiM '04 Paper Acceptance Rate45of121submissions,37%Overall Acceptance Rate398of1,577submissions,25%

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