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How to Implement Satellite optical networks in ns3

To implement the satellite optical network in ns3 which consists to mimic the interaction among satellites that were used as optical links. This is essential to setup the nodes to denote the satellites then configure the point to point optical links and execute the application to emulate the data transmission. The given below is the procedures on how to implement the simple simulation of satellite optical network in ns3.

Step-by-Step Implementation:

Step 1: Setup ns3 Environment

Make sure ns3 is installed in the system and check it properly configured.

git clone https://gitlab.com/nsnam/ns-3-dev.git

cd ns-3-dev

./waf configure

./waf build

Step 2: Create the Satellite Optical Network Simulation Script

We will create a script that sets up satellites with optical links, configures their mobility, and simulates data transmission between them.

#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/mobility-module.h”

#include “ns3/flow-monitor-module.h”

using namespace ns3;

NS_LOG_COMPONENT_DEFINE(“SatelliteOpticalNetworkExample”);

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

{

CommandLine cmd;

cmd.Parse(argc, argv);

// Create satellite nodes

NodeContainer satelliteNodes;

satelliteNodes.Create(3); // Three satellites

// Set up point-to-point links representing optical links

PointToPointHelper p2p;

p2p.SetDeviceAttribute(“DataRate”, StringValue(“10Gbps”));

p2p.SetChannelAttribute(“Delay”, StringValue(“5ms”)); // Optical link delay

NetDeviceContainer devices;

devices = p2p.Install(satelliteNodes.Get(0), satelliteNodes.Get(1));

devices.Add(p2p.Install(satelliteNodes.Get(1), satelliteNodes.Get(2)));

// Install the internet stack

InternetStackHelper stack;

stack.Install(satelliteNodes);

// Assign IP addresses

Ipv4AddressHelper address;

address.SetBase(“10.1.1.0”, “255.255.255.0”);

Ipv4InterfaceContainer interfaces = address.Assign(devices);

// Set up mobility model for satellites

MobilityHelper mobility;

mobility.SetMobilityModel(“ns3::ConstantPositionMobilityModel”);

mobility.Install(satelliteNodes.Get(0));

Ptr<ConstantPositionMobilityModel> pos0 = satelliteNodes.Get(0)->GetObject<ConstantPositionMobilityModel>();

pos0->SetPosition(Vector(0.0, 0.0, 1000.0));

mobility.Install(satelliteNodes.Get(1));

Ptr<ConstantPositionMobilityModel> pos1 = satelliteNodes.Get(1)->GetObject<ConstantPositionMobilityModel>();

pos1->SetPosition(Vector(1000.0, 0.0, 1000.0));

mobility.Install(satelliteNodes.Get(2));

Ptr<ConstantPositionMobilityModel> pos2 = satelliteNodes.Get(2)->GetObject<ConstantPositionMobilityModel>();

pos2->SetPosition(Vector(2000.0, 0.0, 1000.0));

// Install applications to generate traffic

uint16_t port = 9;

// Satellite 0 will send data to Satellite 2

OnOffHelper onoff(“ns3::UdpSocketFactory”, Address(InetSocketAddress(interfaces.GetAddress(1), port)));

onoff.SetConstantRate(DataRate(“1Gbps”));

ApplicationContainer apps = onoff.Install(satelliteNodes.Get(0));

apps.Start(Seconds(1.0));

apps.Stop(Seconds(10.0));

// Install packet sink on Satellite 2 to receive packets

PacketSinkHelper sink(“ns3::UdpSocketFactory”, Address(InetSocketAddress(Ipv4Address::GetAny(), port)));

apps = sink.Install(satelliteNodes.Get(2));

apps.Start(Seconds(0.0));

apps.Stop(Seconds(10.0));

// Enable FlowMonitor to measure performance metrics

FlowMonitorHelper flowmon;

Ptr<FlowMonitor> monitor = flowmon.InstallAll();

// Run the simulation

Simulator::Stop(Seconds(10.0));

Simulator::Run();

// Print per-flow statistics

monitor->CheckForLostPackets();

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

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

for (std::map<FlowId, FlowMonitor::FlowStats>::const_iterator i = stats.begin(); i != stats.end(); ++i)

{

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

NS_LOG_UNCOND(“Flow ” << i->first << ” (” << t.sourceAddress << ” -> ” << t.destinationAddress << “)”);

NS_LOG_UNCOND(”  Tx Packets: ” << i->second.txPackets);

NS_LOG_UNCOND(”  Tx Bytes:   ” << i->second.txBytes);

NS_LOG_UNCOND(”  Rx Packets: ” << i->second.rxPackets);

NS_LOG_UNCOND(”  Rx Bytes:   ” << i->second.rxBytes);

NS_LOG_UNCOND(”  Lost Packets: ” << i->second.lostPackets);

NS_LOG_UNCOND(”  Throughput: ” << i->second.rxBytes * 8.0 / (i->second.timeLastRxPacket.GetSeconds() – i->second.timeFirstTxPacket.GetSeconds()) / 1024 / 1024 << ” Mbps”);

}

// Clean up

Simulator::Destroy();

return 0;

}

Step 3: Compile and Run the Simulation

  1. Compile the Simulation:

./waf configure –enable-examples

./waf build

Run the Simulation:

./waf –run scratch/satellite-optical-network-example

Step 4: Analyse Results

The simulation script sets up a satellite optical network where data is transmitted between satellites using optical links. FlowMonitor is used to collect and print out statistics about the traffic flows, such as packet loss, throughput, and delay.

Additional Considerations

To extend the functionality of your satellite optical network simulation, consider the following:

1. Advanced Mobility Models

To mimic satellite orbits, contains circular and elliptical trajectories that were executed in more realistic mobility models.

2. Dynamic Routing

To handle the changing topology of a satellite network as satellites move to incorporate with dynamic routing protocols.

3. Fault Tolerance

To handle link failures and satellite outages, safeguarding continuous communication using the fault tolerance mechanisms.

4. Traffic Patterns

Simulate different types of traffic patterns, such as VoIP, video streaming, and bulk data transfer, to study their impact on the network.

5. Quality of Service (QoS)

Apply QoS mechanisms to prioritize assured kinds of traffic and safeguard that critical data flows receive the essential bandwidth and low latency.

6. Performance Metrics

Collect and analyse additional metrics like jitter, packet delay variation, and error rates to evaluate the network performance more comprehensively.

Here, we entirely understand about satellite optical network were interact among the satellites using the optical links and then configures their mobility and simulates data transmission among them using ns3 framework. If you need any information regarding the satellite iptical network we will help to provide the data.

We offer assistance with the implementation of Satellite optical networks in the ns3 tool. Feel free to reach out to us for expert guidance on how to integrate it into your project. Our team can provide you with project ideas and help you with its execution. We specialize in setting up nodes to represent the satellites and configuring point-to-point optical links. Our writers and developers can provide practical explanations to support your understanding.