main-propagation-loss.cc File Reference

#include "ns3/boolean.h"
#include "ns3/command-line.h"
#include "ns3/config.h"
#include "ns3/constant-position-mobility-model.h"
#include "ns3/double.h"
#include "ns3/gnuplot.h"
#include "ns3/jakes-propagation-loss-model.h"
#include "ns3/pointer.h"
#include "ns3/propagation-loss-model.h"
#include "ns3/simulator.h"
#include "ns3/string.h"
#include <map>

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Functions
static double	dround (double number, double precision)
	Round a double number to the given precision.
static Gnuplot	TestDeterministic (Ptr< PropagationLossModel > model, double targetDistance, double step)
	Test the model by sampling over a distance.
static Gnuplot	TestDeterministicByTime (Ptr< PropagationLossModel > model, Time timeStep, Time timeTotal, double distance)
	Test the model by sampling over time.
static Gnuplot	TestProbabilistic (Ptr< PropagationLossModel > model, double targetDistance, double step, unsigned int samples)
	Test the model by sampling over a distance.

Detailed Description

Usage

$ ./ns3 run "main-propagation-loss [Program Options]"

Program Options

--test

Run as a test, sample the models only once [false]

Definition in file main-propagation-loss.cc.

Function Documentation

dround()

static double dround ( double  number, double  precision  )

static

Round a double number to the given precision.

e.g. dround(0.234, 0.1) = 0.2 and dround(0.257, 0.1) = 0.3

Parameters

number	The number to round.
precision	The precision.

Returns

the rounded number

Definition at line 45 of file main-propagation-loss.cc.

Referenced by TestProbabilistic().

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TestDeterministic()

static Gnuplot TestDeterministic ( Ptr< PropagationLossModel >  model, double  targetDistance, double  step  )

static

Test the model by sampling over a distance.

Parameters

model	The model to test.
targetDistance	The target distance.
step	The step.

Returns

a Gnuplot object to be plotted.

Definition at line 69 of file main-propagation-loss.cc.

References ns3::Gnuplot2dDataset::Add(), ns3::Gnuplot::AddDataset(), ns3::Gnuplot::AppendExtra(), ns3::Gnuplot2dDataset::LINES, ns3::Simulator::Run(), ns3::Seconds(), ns3::Gnuplot2dDataset::SetStyle(), ns3::GnuplotDataset::SetTitle(), and ns3::Simulator::Stop().

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TestDeterministicByTime()

static Gnuplot TestDeterministicByTime ( Ptr< PropagationLossModel >  model, Time  timeStep, Time  timeTotal, double  distance  )

static

Test the model by sampling over time.

Parameters

model	The model to test.
timeStep	The time step.
timeTotal	The total time.
distance	The distance.

Returns

a Gnuplot object to be plotted.

Definition at line 204 of file main-propagation-loss.cc.

References ns3::Gnuplot2dDataset::Add(), ns3::Gnuplot::AddDataset(), ns3::Gnuplot::AppendExtra(), ns3::Time::GetSeconds(), ns3::Gnuplot2dDataset::LINES, ns3::Simulator::Now(), ns3::Simulator::Run(), ns3::Gnuplot2dDataset::SetStyle(), ns3::GnuplotDataset::SetTitle(), and ns3::Simulator::Stop().

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TestProbabilistic()

static Gnuplot TestProbabilistic ( Ptr< PropagationLossModel >  model, double  targetDistance, double  step, unsigned int  samples  )

static

Test the model by sampling over a distance.

Parameters

model	The model to test.
targetDistance	The target distance.
step	The step.
samples	Number of samples.

Returns

a Gnuplot object to be plotted.

Definition at line 124 of file main-propagation-loss.cc.

References ns3::Gnuplot3dDataset::Add(), ns3::Gnuplot::AddDataset(), ns3::Gnuplot3dDataset::AddEmptyLine(), ns3::Gnuplot::AppendExtra(), dround(), ns3::Simulator::Run(), ns3::Seconds(), ns3::GnuplotDataset::SetExtra(), ns3::Gnuplot3dDataset::SetStyle(), ns3::GnuplotDataset::SetTitle(), and ns3::Simulator::Stop().

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