37 #include <ns3/core-module.h>
38 #include <ns3/gnuplot.h>
39 #include <ns3/lr-wpan-module.h>
40 #include <ns3/mobility-module.h>
41 #include <ns3/network-module.h>
42 #include <ns3/propagation-module.h>
43 #include <ns3/spectrum-module.h>
63 main(
int argc,
char* argv[])
67 std::ostringstream os;
68 std::ofstream perfile(
"802.15.4-per-vs-rxSignal.plt");
70 double minRxSignal = -111;
71 double maxRxSignal = -82;
72 double increment = 0.01;
73 int maxPackets = 1000;
76 uint32_t channelNumber = 11;
77 double rxSensitivity = -106.58;
81 cmd.AddValue(
"txPower",
"transmit power (dBm)", txPower);
82 cmd.AddValue(
"packetSize",
"packet (MSDU) size (bytes)",
packetSize);
83 cmd.AddValue(
"channelNumber",
"channel number", channelNumber);
84 cmd.AddValue(
"rxSensitivity",
"the rx sensitivity (dBm)", rxSensitivity);
85 cmd.Parse(argc, argv);
101 channel->AddPropagationLossModel(propModel);
107 dev0->
GetPhy()->SetMobility(mob0);
109 dev1->
GetPhy()->SetMobility(mob1);
110 mob0->SetPosition(Vector(0, 0, 0));
111 mob1->SetPosition(Vector(0, 0, 0));
115 dev0->
GetPhy()->SetTxPowerSpectralDensity(psd);
118 dev1->
GetPhy()->SetRxSensitivity(rxSensitivity);
122 dev1->
GetMac()->SetMcpsDataIndicationCallback(cb0);
129 double sensitivityExp = 0;
130 bool sensThreshold =
true;
132 for (
double j = minRxSignal; j < maxRxSignal; j += increment)
134 propModel->SetRss(j);
140 for (
int i = 0; i < maxPackets; i++)
158 std::cout <<
"Experimental Test || Signal: " << j <<
" dBm | Received " <<
g_packetsReceived
160 <<
"/" << maxPackets <<
" | PER " << per <<
" %\n";
162 if (per <= 1 && sensThreshold)
164 sensThreshold =
false;
167 perdatasetExperimental.Add(j, per);
182 double maxRxSensitivityW = (pow(10.0, -106.58 / 10.0) / 1000.0);
183 long double noiseFactor = (pow(10.0, rxSensitivity / 10.0) / 1000.0) / maxRxSensitivityW;
190 double sensitivityTheo = 0;
191 double perTheoretical = 0;
193 sensThreshold =
true;
195 for (
double j = minRxSignal; j < maxRxSignal; j += increment)
202 signal = pow(10.0, j / 10.0) / 1000.0;
203 snr = signal / noise;
208 perTheoretical = (1.0 - lrWpanError->GetChunkSuccessRate(snr, (
packetSize + 13) * 8)) * 100;
209 std::cout <<
"Theoretical Test || Signal: " << j <<
" dBm | SNR: " << snr <<
"| PER "
210 << perTheoretical <<
" % \n";
212 if (perTheoretical <= 1 && sensThreshold)
214 sensThreshold =
false;
217 perdatasetTheoretical.Add(j, perTheoretical);
220 std::cout <<
"_____________________________________________________________________________\n";
221 std::cout <<
"Experimental Test || Receiving with a current sensitivity of " << sensitivityExp
223 std::cout <<
"Theoretical Test || Receiving with a current sensitivity of " << sensitivityTheo
225 std::cout <<
"Gnu plot generated.";
227 os <<
"Pkt Payload (MSDU) size = " <<
packetSize <<
" bytes | "
228 <<
"Tx power = " << txPower <<
" dBm | "
229 <<
"Rx Sensitivity (Theo) = " << sensitivityTheo <<
" dBm";
235 perplot.
SetTerminal(
"postscript eps color enh \"Times-BoldItalic\"");
236 perplot.
SetLegend(
"Rx signal (dBm)",
"Packet Error Rate (%)");
237 perplot.
SetExtra(
"set xrange [-110:-82]\n\
239 set yrange [0.000000000001:120]\n\
242 set style line 1 linewidth 5\n\
243 set style line 2 linewidth 3\n\
244 set style increment user\n\
245 set arrow from -110,1 to -82,1 nohead lc 'web-blue' front");
Parse command-line arguments.
Class to represent a 2D points plot.
a simple class to generate gnuplot-ready plotting commands from a set of datasets.
void AddDataset(const GnuplotDataset &dataset)
void SetLegend(const std::string &xLegend, const std::string &yLegend)
void SetTerminal(const std::string &terminal)
void GenerateOutput(std::ostream &os)
Writes gnuplot commands and data values to a single output stream.
void SetExtra(const std::string &extra)
void SetTitle(const std::string &title)
void McpsDataRequest(McpsDataRequestParams params, Ptr< Packet > p) override
IEEE 802.15.4-2006, section 7.1.1.1 MCPS-DATA.request Request to transfer a MSDU.
void SetChannel(Ptr< SpectrumChannel > channel)
Set the channel to which the NetDevice, and therefore the PHY, should be attached to.
Ptr< LrWpanMac > GetMac() const
Get the MAC used by this NetDevice.
Ptr< LrWpanPhy > GetPhy() const
Get the PHY used by this NetDevice.
void SetAddress(Address address) override
This method indirects to LrWpanMac::SetShortAddress ()
This class defines all functions to create spectrum model for LrWpan.
Ptr< SpectrumValue > CreateNoisePowerSpectralDensity(uint32_t channel)
create spectrum value for noise
static double TotalAvgPower(Ptr< const SpectrumValue > psd, uint32_t channel)
total average power of the signal is the integral of the PSD using the limits of the given channel
Ptr< SpectrumValue > CreateTxPowerSpectralDensity(double txPower, uint32_t channel)
create spectrum value
void SetNoiseFactor(double f)
Set the noise factor added to the thermal noise.
This class can contain 16 bit addresses.
uint32_t AddDevice(Ptr< NetDevice > device)
Associate a NetDevice to this node.
static EventId Schedule(const Time &delay, FUNC f, Ts &&... args)
Schedule an event to expire after delay.
static void Destroy()
Execute the events scheduled with ScheduleDestroy().
static void Run()
Run the simulation.
#define NS_LOG_COMPONENT_DEFINE(name)
Define a Log component with a specific name.
Time Seconds(double value)
Construct a Time in the indicated unit.
uint32_t g_packetsReceived
number of packets received
void PacketReceivedCallback(McpsDataIndicationParams params, Ptr< Packet > p)
Function called when a Data indication is invoked.
Every class exported by the ns3 library is enclosed in the ns3 namespace.
Callback< R, Args... > MakeCallback(R(T::*memPtr)(Args...), OBJ objPtr)
Build Callbacks for class method members which take varying numbers of arguments and potentially retu...
LogLevel
Logging severity classes and levels.
@ LOG_PREFIX_FUNC
Prefix all trace prints with function.
@ LOG_PREFIX_TIME
Prefix all trace prints with simulation time.
@ LOG_PREFIX_NODE
Prefix all trace prints with simulation node.
void LogComponentEnableAll(LogLevel level)
Enable the logging output for all registered log components.
params
Fit Fluctuating Two Ray model to the 3GPP TR 38.901 using the Anderson-Darling goodness-of-fit ##.
MCPS-DATA.indication params.
MCPS-DATA.request params.
static const uint32_t packetSize
Packet size generated at the AP.