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Simulation validation using direct execution of wireless Ad-Hoc routing protocols
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Source Workshop on Parallel and Distributed Simulation archive
Proceedings of the eighteenth workshop on Parallel and distributed simulation table of contents
Kufstein, Austria
SESSION: Network Simulation 1 table of contents
Pages: 7 - 16  
Year of Publication: 2004
ISBN ~ ISSN:1087-4097 , 0-7695-2111-8
Authors
Jason Liu  University of Illinois at Urbana-Champaign, Urbana, IL
Yougu Yuan  University of Illinois at Urbana-Champaign, Urbana, IL
David M. Nicol  University of Illinois at Urbana-Champaign, Urbana, IL
Robert S. Gray  Dartmouth College, Hanover, NH
Calvin C. Newport  Dartmouth College, Hanover, NH
David Kotz  Dartmouth College, Hanover, NH
Luiz Felipe Perrone  Bucknell University, Lewisburg, PA
Sponsors
SIGSIM: ACM Special Interest Group on Simulation and Modeling
TCSIM : IEEE Computer Society Technical Committee on Simulation
SCS : Society for Modeling and Simulation International
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 13,   Downloads (12 Months): 46,   Citation Count: 12
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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

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
X.A. Dimitropoulos and G. F. Riley. Creating realistic BGP models. MASCOTS'03, October 2003.
 
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.
 
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B. Karp and H. T. Kung. Dynamic neighbor discovery and loopfree, multi-hop routing for wireless, mobile networks. Hardvard University, May 1998.
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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.
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CITED BY  12
Collaborative Colleagues:
Jason Liu: colleagues
Yougu Yuan: colleagues
David M. Nicol: colleagues
Robert S. Gray: colleagues
Calvin C. Newport: colleagues
David Kotz: colleagues
Luiz Felipe Perrone: colleagues