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

  • Markus Becker
  • Thushara Lanka Weerawardane
  • Xi Li
  • Carmelita Görg
Conference paper

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.

Keywords

Random Number Generator Packet Delay Maximum Relative Error Mersenne Twister OPNET Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Markus Becker
    • 1
  • Thushara Lanka Weerawardane
    • 1
  • Xi Li
    • 1
  • Carmelita Görg
    • 1
  1. 1.Communication Networks, TZI ikomUniversity of BremenGermany

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