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How to Implement Inter satellite Optical communication in ns3

To implement Inter-Satellite Optical Communication (ISOC) in ns3, we need to simulate optical links between satellites. For setting up this simulation we have to configure nodes to represent the satellites and establishing optical communication links between them.

The following steps will guide on creating a basic simulation of ISOC in ns3.

 Step-by-step guide to implement ISOC in ns3.

Step 1: Setup ns-3 Environment

Make sure that ns3 is installed and properly configured.

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

cd ns-3-dev

./waf configure

./waf build

Step 2: Create the Inter-Satellite Optical Communication 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(“InterSatelliteOpticalCommunicationExample”);

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 between satellites

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::ConstantVelocityMobilityModel”);

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

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

pos0->SetPosition(Vector(0.0, 0.0, 700.0));

pos0->SetVelocity(Vector(0.0, 7.5, 0.0));

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

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

pos1->SetPosition(Vector(1000.0, 0.0, 700.0));

pos1->SetVelocity(Vector(0.0, 7.5, 0.0));

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

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

pos2->SetPosition(Vector(2000.0, 0.0, 700.0));

pos2->SetVelocity(Vector(0.0, 7.5, 0.0));

// Install applications to generate traffic

uint16_t port = 9;

// Satellite 0 will send data to Satellite 2 via Satellite 1

OnOffHelperonoff(“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/inter-satellite-optical-communication-example

Step 4: Analyze Results

The simulation script sets up an inter-satellite optical communication network with three satellites and simulates data transmission between them. 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 inter-satellite optical communication network simulation, consider the following:

1. Advanced Mobility Models

Implement more realistic mobility models to simulate the movement of satellites in different orbits, including LEO, MEO, and GEO satellites.

2. Dynamic Routing

Integrate dynamic routing protocols to manage the changing topology of the satellite network as satellites move.

3. Fault Tolerance

Implement fault tolerance mechanisms to handle link failures and satellite outages, ensuring continuous communication.

4. Traffic Patterns

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

5. Quality of Service (QoS)

Implement QoS mechanisms to prioritize certain types of traffic and ensure that critical data flows receive the necessary bandwidth and low latency.

6. Performance Metrics

Collect and analyze additional metrics such as jitter, packet delay variation, and error rates to evaluate the network performance more comprehensively.

From the given above steps and example we can clearly understand the terms involved in implementing inter satellite Optical communication in ns3 by configuring the nodes and simulating them for the results.

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