How to Begin Implement Network Node Degree in NS3

To start implementing and examining the Network Node Degree within NS3, we can determine the amount of direct neighbors in a network for every single node. It is frequently utilised within wireless networks in which node degree impacts the connectivity, routing effectiveness, and network density. We will guide you on how to execute the Network Node Degree through the following steps using NS3:

Steps to Implement Node Degree in NS3

1. Understand Node Degree

• Definition:
  • The node’s degree is the amount of direct neighbors in their interaction range.
• Applications:
  • Measuring clustering or topology control.
  • To examine network connectivity.
  • Estimating the impact of density at routing protocols.

2. Set Up NS3 Simulation Environment

1. Install NS3:
   • We should properly install and download NS3 on the system.
2. Choose a Wireless Network:
   • Replicate the interaction range using a wireless network component like Wifi or Lte.
3. Enable Node Mobility:
   • Set up static or dynamic node locations for monitoring the impact on node degree.

3. Measure Node Degree

1. Communication Range:
   • Describe the communication range of nodes with the support of PHY layer set up.
2. Count Neighbors:
   • Compute if count neighbors are in transmission range to leverage the Euclidean distance among nodes.
3. Log Node Degrees:
   • Estimate and record the degree of every single node periodically.

4. Implement Node Degree Calculation

Here’s a sample NS3 script for determining the degree of node within a WiFi network.

Example Script: Node Degree in NS3

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/wifi-module.h”

#include “ns3/mobility-module.h”

using namespace ns3;

class NodeDegreeCalculator {

public:

NodeDegreeCalculator(NodeContainer nodes, double communicationRange)

: m_nodes(nodes), m_communicationRange(communicationRange) {}

void CalculateNodeDegrees() {

uint32_t nNodes = m_nodes.GetN();

for (uint32_t i = 0; i < nNodes; ++i) {

Ptr<Node> node = m_nodes.Get(i);

Ptr<MobilityModel> mobility = node->GetObject<MobilityModel>();

Vector position = mobility->GetPosition();

uint32_t degree = 0;

for (uint32_t j = 0; j < nNodes; ++j) {

if (i != j) {

Ptr<Node> neighbor = m_nodes.Get(j);

Ptr<MobilityModel> neighborMobility = neighbor->GetObject<MobilityModel>();

Vector neighborPosition = neighborMobility->GetPosition();

double distance = CalculateDistance(position, neighborPosition);

if (distance <= m_communicationRange) {

degree++;

}

}

}

NS_LOG_UNCOND(“Node ” << i << ” Degree: ” << degree);

}

}

private:

NodeContainer m_nodes;

double m_communicationRange;

};

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

CommandLine cmd;

double communicationRange = 50.0; // Transmission range in meters

cmd.AddValue(“communicationRange”, “Transmission range of nodes”, communicationRange);

cmd.Parse(argc, argv);

// Create nodes

NodeContainer nodes;

nodes.Create(10); // 10 nodes in the network

// Configure WiFi

YansWifiChannelHelper wifiChannel = YansWifiChannelHelper::Default();

YansWifiPhyHelper wifiPhy = YansWifiPhyHelper::Default();

wifiPhy.SetChannel(wifiChannel.Create());

WifiHelper wifi;

wifi.SetStandard(WIFI_PHY_STANDARD_80211g);

WifiMacHelper mac;

mac.SetType(“ns3::AdhocWifiMac”);

wifi.Install(wifiPhy, mac, nodes);

// Configure mobility

MobilityHelper mobility;

mobility.SetPositionAllocator(“ns3::RandomRectanglePositionAllocator”,

“X”, StringValue(“ns3::UniformRandomVariable[Min=0.0|Max=100.0]”),

“Y”, StringValue(“ns3::UniformRandomVariable[Min=0.0|Max=100.0]”));

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

mobility.Install(nodes);

// Calculate node degree

NodeDegreeCalculator degreeCalculator(nodes, communicationRange);

Simulator::Schedule(Seconds(1.0), &NodeDegreeCalculator::CalculateNodeDegrees, &degreeCalculator);

Simulator::Run();

Simulator::Destroy();

return 0;

}

Explanation of the Script

1. Communication Range:
   • Describe the maximum distance for a node deliberating another node like a neighbor.
2. Node Position:
   • Acquire nodes’ location and estimate the distances among them to apply MobilityModel.
3. Degree Calculation:
   • Do again the computations processes via all nodes for determining the neighbors in the interaction range.
4. Logging:
   • Records the each node’s degree on the scheduled simulation time.

5. Run the Simulation

1. Build the script:

./waf –run “node-degree-calculator”

1. Monitor the records for measuring the degree of each node.

We had successfully computed the volume of direct neighbors for each node in a network and executed the Network Node Degree using NS3 with the support of above process, sample snippets and their explanation. Likewise, we will be offered more specifies regarding this subject as per your needs.