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Extending OPNET Modeler with External Pseudo Random Number Generators and Statistical Evaluation by the Limited Relative Error Algorithm

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Recent Advances in Modeling and Simulation Tools for Communication Networks and Services

Pseudo Random Number Generators (PRNG) are the base for stochastic simulations. The usage of good generators is essential for valid simulation results. OPNET Modeler a well-known tool for simulation of communication networks provides a Pseudo Random Number Generator. The extension of OPNET Modeler with external generators and additional statistical evaluation methods that has been performed for this paper increases the flexibility and options in the simulation studies performed.

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© 2007 Springer Science+Business Media, LLC

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Becker, M., Weerawardane, T.L., Li, X., Görg, C. (2007). Extending OPNET Modeler with External Pseudo Random Number Generators and Statistical Evaluation by the Limited Relative Error Algorithm. In: Ince, A.N., Bragg, A. (eds) Recent Advances in Modeling and Simulation Tools for Communication Networks and Services. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73908-3_12

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  • DOI: https://doi.org/10.1007/978-0-387-73908-3_12

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-73907-6

  • Online ISBN: 978-0-387-73908-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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