ns-3 random numbers are provided via instances of ns3::RandomVariableStream. More...

Collaboration diagram for Random Variables:

## Modules | |

RNG Implementation | |

## Classes | |

class | ns3::ConstantRandomVariable |

The Random Number Generator (RNG) that returns a constant. More... | |

class | ns3::DeterministicRandomVariable |

The Random Number Generator (RNG) that returns a predetermined sequence. More... | |

class | ns3::EmpiricalRandomVariable |

The Random Number Generator (RNG) that has a specified empirical distribution. More... | |

class | ns3::ErlangRandomVariable |

The Erlang distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically. More... | |

class | ns3::ExponentialRandomVariable |

The exponential distribution Random Number Generator (RNG). More... | |

class | ns3::GammaRandomVariable |

The gamma distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically. More... | |

class | ns3::LogNormalRandomVariable |

The log-normal distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically. More... | |

class | ns3::NormalRandomVariable |

The normal (Gaussian) distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically. More... | |

class | ns3::ParetoRandomVariable |

The Pareto distribution Random Number Generator (RNG). More... | |

class | ns3::RandomVariableStream |

The basic uniform Random Number Generator (RNG). More... | |

class | ns3::RngSeedManager |

Manage the seed number and run number of the underlying random number generator, and automatic assignment of stream numbers. More... | |

class | ns3::SequentialRandomVariable |

The Random Number Generator (RNG) that returns a pattern of sequential values. More... | |

class | ns3::TriangularRandomVariable |

The triangular distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically. More... | |

class | ns3::UniformRandomVariable |

The uniform distribution Random Number Generator (RNG). More... | |

class | ns3::WeibullRandomVariable |

The Weibull distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically. More... | |

class | ns3::ZetaRandomVariable |

The zeta distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically. More... | |

class | ns3::ZipfRandomVariable |

The Zipf distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically. More... | |

ns-3 random numbers are provided via instances of ns3::RandomVariableStream.

- By default, ns-3 simulations use a fixed seed; if there is any randomness in the simulation, each run of the program will yield identical results unless the seed and/or run number is changed.
- In ns-3.3 and earlier, ns-3 simulations used a random seed by default; this marks a change in policy starting with ns-3.4.
- In ns-3.14 and earlier, ns-3 simulations used a different wrapper class called ns3::RandomVariable. This implementation is documented above under Legacy Random Variables. As of ns-3.15, this class has been replaced by ns3::RandomVariableStream; the underlying pseudo-random number generator has not changed.
- To obtain randomness across multiple simulation runs, you must either set the seed differently or set the run number differently. To set a seed, call ns3::RngSeedManager::SetSeed() at the beginning of the program; to set a run number with the same seed, call ns3::RngSeedManager::SetRun() at the beginning of the program.
- Each RandomVariableStream used in ns-3 has a virtual random number generator associated with it; all random variables use either a fixed or random seed based on the use of the global seed.
- If you intend to perform multiple runs of the same scenario, with different random numbers, please be sure to read the manual section on how to perform independent replications.