To implement Network Flexible Branching in ns3, we need to create a network topology. In that topology based on certain conditions in which the nodes can dynamically choose different branches or paths such as network load, delay, or other performance metrics. By using the dynamic routing protocols or manually configuring routes we can implement this. Provide us with all your project details and parameters for optimal guidance.
The following steps will guide on how to set-up a basic simulation of a network with flexible branching in ns3.
Step-by-step guide to implement network flexible branching in ns:
Step 1: Setup ns3 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 Network Flexible Branching Simulation Script
We will create a script that sets up a network topology, configures point-to-point links, and simulates data transmission between nodes with dynamic routing decisions.
#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”
#include “ns3/ipv4-global-routing-helper.h”
using namespace ns3;
NS_LOG_COMPONENT_DEFINE(“FlexibleBranchingExample”);
void ConfigureRoutes()
{
Ipv4GlobalRoutingHelper::PopulateRoutingTables();
}
int main(int argc, char *argv[])
{
CommandLine cmd;
cmd.Parse(argc, argv);
// Create nodes
NodeContainer nodes;
nodes.Create(6); // Six nodes for a flexible branching network topology
// Set up point-to-point links
PointToPointHelper p2p;
p2p.SetDeviceAttribute(“DataRate”, StringValue(“5Mbps”));
p2p.SetChannelAttribute(“Delay”, StringValue(“2ms”));
// Install point-to-point devices and channels between nodes
NetDeviceContainer devices;
devices = p2p.Install(nodes.Get(0), nodes.Get(1));
devices.Add(p2p.Install(nodes.Get(1), nodes.Get(2)));
devices.Add(p2p.Install(nodes.Get(2), nodes.Get(3)));
devices.Add(p2p.Install(nodes.Get(1), nodes.Get(4)));
devices.Add(p2p.Install(nodes.Get(4), nodes.Get(5)));
devices.Add(p2p.Install(nodes.Get(0), nodes.Get(5)));
// Install the internet stack
InternetStackHelper stack;
stack.Install(nodes);
// Assign IP addresses
Ipv4AddressHelper address;
address.SetBase(“10.1.1.0”, “255.255.255.0”);
Ipv4InterfaceContainer interfaces1 = address.Assign(devices.Get(0));
address.NewNetwork();
Ipv4InterfaceContainer interfaces2 = address.Assign(devices.Get(1));
address.NewNetwork();
Ipv4InterfaceContainer interfaces3 = address.Assign(devices.Get(2));
address.NewNetwork();
Ipv4InterfaceContainer interfaces4 = address.Assign(devices.Get(3));
address.NewNetwork();
Ipv4InterfaceContainer interfaces5 = address.Assign(devices.Get(4));
address.NewNetwork();
Ipv4InterfaceContainer interfaces6 = address.Assign(devices.Get(5));
// Set up dynamic routing
Ipv4GlobalRoutingHelper::PopulateRoutingTables();
// Install applications to generate traffic
uint16_t port = 9;
// Node 0 will send data to Node 5
OnOffHelperonoff(“ns3::UdpSocketFactory”, Address(InetSocketAddress(Ipv4Address(“10.1.6.2”), port)));
onoff.SetConstantRate(DataRate(“1Mbps”));
ApplicationContainer apps = onoff.Install(nodes.Get(0));
apps.Start(Seconds(1.0));
apps.Stop(Seconds(10.0));
// Install packet sink on Node 5 to receive packets
PacketSinkHelpersink(“ns3::UdpSocketFactory”, Address(InetSocketAddress(Ipv4Address::GetAny(), port)));
apps = sink.Install(nodes.Get(5));
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
- Compile the Simulation:
./waf configure –enable-examples
./waf build
Run the Simulation:
./waf –run scratch/flexible-branching-example
Step 4: Analyze Results
The simulation script sets up a flexible branching network topology with dynamic routing decisions. 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 flexible branching network simulation, consider the following:
1. Advanced Routing Protocols
Integrate advanced routing protocols such as OSPF, BGP, or AODV to manage the routing of packets in the network and automatically find optimal paths.
2. Dynamic Routing Based on Metrics
Implement dynamic routing based on performance metrics such as delay, throughput, and packet loss to optimize the routing decisions in real-time.
3. Complex Topologies
Create more complex network topologies to simulate real-world networks, including mesh, star, and ring topologies.
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.
In the above steps and example we can completely understand the implementation process of flexible branching in ns3, by dynamically choosing the different branches or path based on certain conditions.
Our professionals will manage the integration of Network Flexible Branching in ns3programming. Explore ns3simulation.com for innovative project ideas and comprehensive performance analysis. Whether it involves dynamic routing protocols or manual route configuration, our developers are ready to help with your project.