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# How to Calculate Network Satisfaction rate in Ns3

To calculate the network satisfaction rate in ns3, we need to follow several steps. Because, this satisfaction rate focus on how well the network meets predefined thresholds which is often expressed as a percentage. For measuring this we have to define a metric that’s show how well the network meets certain performance criteria, such as throughput, latency, packet loss, or a combination of these factors. The following steps will guide on how to calculate the Network satisfaction rate in ns3.

Step-by-step to Calculate Network Satisfaction Rate in ns3

1. Set Up the NS3 Environment:
• Make sure NS3 is installed.
2. Define the Network Topology:
• Create a network topology with nodes and links.
3. Install Applications:
• Install traffic-generating applications on the nodes to simulate network traffic.
4. Define Performance Metrics and Thresholds:
• Define the performance metrics (e.g., throughput, latency, packet loss) and their corresponding satisfaction thresholds.
5. Monitor Performance Metrics:
• Use trace sources or callbacks to monitor the performance metrics during the simulation.
6. Calculate Satisfaction Rate:
• Calculate the satisfaction rate based on the percentage of metrics that meet or exceed the thresholds.

Example Code

Here an example given below for how to set up a simple NS3 simulation to calculate the network satisfaction rate based on throughput and latency.

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/internet-module.h”

#include “ns3/point-to-point-module.h”

#include “ns3/applications-module.h”

#include “ns3/flow-monitor-module.h”

using namespace ns3;

NS_LOG_COMPONENT_DEFINE (“NetworkSatisfactionExample”);

double throughputThreshold = 500.0; // kbps

double latencyThreshold = 50.0; // ms

void CalculateSatisfactionRate (Ptr<FlowMonitor> flowMonitor, FlowMonitorHelper& flowHelper)

{

Ptr<Ipv4FlowClassifier>classifier=DynamicCast<Ipv4FlowClassifier> (flowHelper.GetClassifier ());

std::map<FlowId, FlowMonitor::FlowStats> stats = flowMonitor->GetFlowStats ();

uint32_t satisfiedFlows = 0;

uint32_t totalFlows = stats.size ();

for (auto it = stats.begin (); it != stats.end (); ++it)

{

Ipv4FlowClassifier::FiveTuple t = classifier->FindFlow (it->first);

double throughput = it->second.rxBytes * 8.0 / (it->second.timeLastRxPacket.GetSeconds () – it->second.timeFirstTxPacket.GetSeconds ()) / 1024;

double latency = it->second.delaySum.GetSeconds () / it->second.rxPackets * 1000;

NS_LOG_UNCOND (“Throughput: ” << throughput << ” kbps”);

NS_LOG_UNCOND (“Latency: ” << latency << ” ms”);

if (throughput >= throughputThreshold && latency <= latencyThreshold)

{

satisfiedFlows++;

}

}

double satisfactionRate = (double)satisfiedFlows / totalFlows * 100;

NS_LOG_UNCOND (“Network Satisfaction Rate: ” << satisfactionRate << ” %”);

}

int main (int argc, char *argv[])

{

CommandLine cmd;

cmd.Parse (argc, argv);

Time::SetResolution (Time::NS);

NodeContainer nodes;

nodes.Create (2);

PointToPointHelper pointToPoint;

pointToPoint.SetDeviceAttribute (“DataRate”, StringValue (“5Mbps”));

pointToPoint.SetChannelAttribute (“Delay”, StringValue (“2ms”));

NetDeviceContainer devices;

devices = pointToPoint.Install (nodes);

InternetStackHelper stack;

stack.Install (nodes);

// Create a UDP server on node 1

UdpServerHelper server (9);

ApplicationContainer serverApp = server.Install (nodes.Get (1));

serverApp.Start (Seconds (1.0));

serverApp.Stop (Seconds (10.0));

// Create a UDP client on node 0

client.SetAttribute (“MaxPackets”, UintegerValue (320));

client.SetAttribute (“Interval”, TimeValue (MilliSeconds (10)));

client.SetAttribute (“PacketSize”, UintegerValue (1024));

ApplicationContainer clientApp = client.Install (nodes.Get (0));

clientApp.Start (Seconds (2.0));

clientApp.Stop (Seconds (10.0));

FlowMonitorHelper flowHelper;

Ptr<FlowMonitor> flowMonitor = flowHelper.InstallAll ();

Simulator::Stop (Seconds (11.0));

Simulator::Run ();

CalculateSatisfactionRate (flowMonitor, flowHelper);

Simulator::Destroy ();

return 0;

}

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/internet-module.h”

#include “ns3/point-to-point-module.h”

#include “ns3/applications-module.h”

#include “ns3/flow-monitor-module.h”

using namespace ns3;

NS_LOG_COMPONENT_DEFINE (“NetworkSatisfactionExample”);

double throughputThreshold = 500.0; // kbps

double latencyThreshold = 50.0; // ms

void CalculateSatisfactionRate (Ptr<FlowMonitor> flowMonitor, FlowMonitorHelper& flowHelper)

{

Ptr<Ipv4FlowClassifier>classifier=DynamicCast<Ipv4FlowClassifier> (flowHelper.GetClassifier ());

std::map<FlowId, FlowMonitor::FlowStats> stats = flowMonitor->GetFlowStats ();

uint32_t satisfiedFlows = 0;

uint32_t totalFlows = stats.size ();

for (auto it = stats.begin (); it != stats.end (); ++it)

{

Ipv4FlowClassifier::FiveTuple t = classifier->FindFlow (it->first);

double throughput = it->second.rxBytes * 8.0 / (it->second.timeLastRxPacket.GetSeconds () – it->second.timeFirstTxPacket.GetSeconds ()) / 1024;

double latency = it->second.delaySum.GetSeconds () / it->second.rxPackets * 1000;

NS_LOG_UNCOND (“Throughput: ” << throughput << ” kbps”);

NS_LOG_UNCOND (“Latency: ” << latency << ” ms”);

if (throughput >= throughputThreshold && latency <= latencyThreshold)

{

satisfiedFlows++;

}

}

double satisfactionRate = (double)satisfiedFlows / totalFlows * 100;

NS_LOG_UNCOND (“Network Satisfaction Rate: ” << satisfactionRate << ” %”);

}

int main (int argc, char *argv[])

{

CommandLine cmd;

cmd.Parse (argc, argv);

Time::SetResolution (Time::NS);

NodeContainer nodes;

nodes.Create (2);

PointToPointHelper pointToPoint;

pointToPoint.SetDeviceAttribute (“DataRate”, StringValue (“5Mbps”));

pointToPoint.SetChannelAttribute (“Delay”, StringValue (“2ms”));

NetDeviceContainer devices;

devices = pointToPoint.Install (nodes);

InternetStackHelper stack;

stack.Install (nodes);

// Create a UDP server on node 1

UdpServerHelper server (9);

ApplicationContainer serverApp = server.Install (nodes.Get (1));

serverApp.Start (Seconds (1.0));

serverApp.Stop (Seconds (10.0));

// Create a UDP client on node 0

client.SetAttribute (“MaxPackets”, UintegerValue (320));

client.SetAttribute (“Interval”, TimeValue (MilliSeconds (10)));

client.SetAttribute (“PacketSize”, UintegerValue (1024));

ApplicationContainer clientApp = client.Install (nodes.Get (0));

clientApp.Start (Seconds (2.0));

clientApp.Stop (Seconds (10.0));

FlowMonitorHelper flowHelper;

Ptr<FlowMonitor> flowMonitor = flowHelper.InstallAll ();

Simulator::Stop (Seconds (11.0));

Simulator::Run ();

CalculateSatisfactionRate (flowMonitor, flowHelper);

Simulator::Destroy ();

return 0;

}

Explanation

1. Setup: The code sets up a simple point-to-point network between two nodes.
2. Applications: A UDP server is installed on node 1, and a UDP client is installed on node 0 to generate traffic.
3. Flow Monitor: The FlowMonitor is used to gather performance metrics like throughput and latency.
4. CalculateSatisfactionRate Function: This function calculates the satisfaction rate based on the throughput and latency thresholds. It counts the number of flows that meet or exceed the defined thresholds.
5. Thresholds: The throughput and latency thresholds are defined at the beginning of the script.

Running the Simulation

Compile and run the simulation using the following commands in the NS3 environment:

./waf configure

./waf build

./waf –run your-script-name

Replace your-script-name with the actual name of the script file.

The steps and the example given above has clearly explained on how to set up a basic ns3 simulation to calculate network satisfaction rate based on throughput and latency thresholds.

To determine the Network Satisfaction score in Ns3 of your project, please adhere to the steps outlined above. Should you encounter any problems related to throughput, latency, packet loss, or a mix of these issues, feel free to share your specific details with us. We will then provide you with the most optimal solutions.