How to Implement Network Systems on a chip in ns3

To implement the network system on a chip (NoC) in ns3 has includes to emulate the scenario for interacting among the multiple cores on a single chip that were utilized by network-like structure. Then the ns3 tool does not support directly for NoC however we can employ the abilities to design the communication characteristics.

It is quiet hard To implement the network system on a chip (NoC) in ns3 tool, Get best guidance from our experts to know how to apply it in your project.

In the below we offer the structure procedure to implement the NoC in ns3:

Step-by-Step Implementation:

Step 1: Setup ns3 Environment

Make sure ns3 is installed in the computer 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 NoC Simulation Script

We will create a script that sets up a grid of nodes to represent the cores on a chip. Each node will communicate with its neighbours, simulating the communication within a NoC.

#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”

using namespace ns3;

NS_LOG_COMPONENT_DEFINE(“NoCExample”);

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

{

CommandLine cmd;

cmd.Parse(argc, argv);

// Parameters for the NoC

uint32_t gridSize = 3; // 3×3 grid

double linkDelay = 1.0; // 1 ms

std::string dataRate = “1Gbps”;

NodeContainer nodes;

nodes.Create(gridSize * gridSize);

// Create point-to-point links

PointToPointHelper p2p;

p2p.SetDeviceAttribute(“DataRate”, StringValue(dataRate));

p2p.SetChannelAttribute(“Delay”, TimeValue(MilliSeconds(linkDelay)));

InternetStackHelper stack;

stack.Install(nodes);

// Assign IP addresses

Ipv4AddressHelper address;

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

std::vector<Ipv4InterfaceContainer> interfaces(gridSize * gridSize);

// Create the grid of connections

for (uint32_t i = 0; i < gridSize; ++i)

{

for (uint32_t j = 0; j < gridSize; ++j)

{

uint32_t nodeIndex = i * gridSize + j;

// Connect to the right neighbor

if (j < gridSize – 1)

{

NetDeviceContainer devices = p2p.Install(nodes.Get(nodeIndex), nodes.Get(nodeIndex + 1));

interfaces[nodeIndex] = address.Assign(devices);

address.NewNetwork();

}

// Connect to the bottom neighbor

if (i < gridSize – 1)

{

NetDeviceContainer devices = p2p.Install(nodes.Get(nodeIndex), nodes.Get(nodeIndex + gridSize));

interfaces[nodeIndex] = address.Assign(devices);

address.NewNetwork();

}

}

}

// Install applications to generate traffic

uint16_t port = 9;

ApplicationContainer apps;

for (uint32_t i = 0; i < nodes.GetN(); ++i)

{

OnOffHelper onoff(“ns3::UdpSocketFactory”, Address(InetSocketAddress(Ipv4Address(“10.1.1.1”), port)));

onoff.SetConstantRate(DataRate(“100Mbps”));

apps.Add(onoff.Install(nodes.Get(i)));

}

apps.Start(Seconds(1.0));

apps.Stop(Seconds(10.0));

// Install packet sink on the first node

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

apps = sink.Install(nodes.Get(0));

apps.Start(Seconds(0.0));

apps.Stop(Seconds(10.0));

// Run the simulation

Simulator::Stop(Seconds(10.0));

Simulator::Run();

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/<your-simulation-script>

Step 4: Analyse Results

The simulation script sets up a grid of nodes (representing cores on a chip) with point-to-point links to model the NoC. Traffic is generated between these nodes, and you can analyze metrics such as packet loss, delay, and throughput.

Additional Considerations

To extend the functionality of your NoC simulation, consider the following:

1.      Custom Traffic Patterns

To simulate realistic NoC traffic scenarios to execute the various traffic patterns (e.g., uniform random, hot-spot)

2.      Advanced Routing Algorithms

Develop and integrate advanced routing algorithms to manage traffic within the NoC efficiently.

3.      Congestion Control Mechanisms

Implement and compare different congestion control mechanisms to optimize performance under high traffic loads.

4.      Visualization

Use tools like NetAnim to visualize the NoC topology and traffic flow.

// Enable animation

AnimationInterface anim(“noc-animation.xml”);

// Configure and run the simulation as before

Simulator::Stop(Seconds(10.0));

Simulator::Run();

Simulator::Destroy();

5. Performance Metrics

Collect and analyse additional metrics such as latency, jitter, and power consumption to evaluate the NoC performance.

Finally, here we provide the general instructions to perform an analysis in Network Systems on a chip in ns3 tool. We also provide and support further information how the Network Systems on a chip performs in other tools.