To calculate the node degree in OMNeT++, we need to simulate the network that determines the count of direct connections (or links) a node has to other nodes in the network. In a network analysis, node degree is a fundamental metric which offers insights into connectivity and centrality of every node inside the network. Follow the steps to calculate the node degree in OMNeT++:

**Step-by-Step Implementation:**

**Understand the Node Degree**

**Node Degree**: The degree of a node is the number of edges (or links) linked to it. In a network, this corresponds to the number of direct connections to other nodes.

**Set Up the Network Topology**

Use .ned file, to define the network topology in OMNeT++. This file defines the nodes and the connections amongst them.

**Example: Network Topology in a .ned File**

network SimpleNetwork

{

submodules:

node[4]: Node;

connections:

node[0].out++ –> node[1].in++;

node[1].out++ –> node[2].in++;

node[2].out++ –> node[3].in++;

node[3].out++ –> node[0].in++;

node[1].out++ –> node[3].in++;

}

In this example, node[0] has 2 connections, node[1] has 3 connections, and so on.

**Implement Node Degree Calculation**

By counting the number of connected gates (interfaces) on every node to estimate the degree of each node.

**Example: Calculating Node Degree in C++**

class Node : public cSimpleModule {

private:

int nodeDegree = 0;

protected:

virtual void initialize() override {

calculateNodeDegree();

EV << “Node degree: ” << nodeDegree << endl;

recordScalar(“Node Degree”, nodeDegree);

}

void calculateNodeDegree() {

// Count the number of connected gates

for (cModule::GateIterator it(this); !it.end(); ++it) {

cGate *gate = *it;

if (gate->isConnectedOutside()) {

nodeDegree++;

}

}

}

};

**Record Node Degree**

After the simulation, we can record the node degree as a scalar value to analyze.

void initialize() override {

calculateNodeDegree();

EV << “Node degree: ” << nodeDegree << endl;

recordScalar(“Node Degree”, nodeDegree);

}

**Run the Simulation**

Based on the stated network topology, we have to estimate the degree of each node by implementing the simulation in OMNeT++.

**Analyze the Results**

After the simulation, examine the recorded node degrees with the help of the OMNeT++’s analysis tools. It will help us to know the connectivity circulation in the network and categorize key nodes with higher degrees (which may be more central or critical).

**Example Scenario**

Here’s a more complete example of how to calculate the node degree in an OMNeT++ module:

class NetworkNode : public cSimpleModule {

private:

int nodeDegree = 0;

protected:

virtual void initialize() override {

calculateNodeDegree();

EV << “Node degree: ” << nodeDegree << endl;

recordScalar(“Node Degree”, nodeDegree);

}

void calculateNodeDegree() {

// Count the number of connected gates (outgoing and incoming)

for (cModule::GateIterator it(this); !it.end(); ++it) {

cGate *gate = *it;

if (gate->isConnectedOutside()) {

nodeDegree++;

}

}

}

};

**Post-Simulation Analysis**

We can analyze the node degree circulation over the network to define how well the various nodes are connected, after the simulation is done. Nodes that has higher degrees might be central hubs, rather those has a lower degrees could be exterior or less critical to network connectivity

**Additional Considerations**

**Directed vs. Undirected Networks**: We can differentiate between in-degree (number of incoming connections) and out-degree (number of outgoing connections) in directed networks.**Weighted Degree**: If the connections have weights (e.g., bandwidth), By adding the weights of the connections rather than just counting them, we can estimate the weighted degree.

By following this step-by-step procedure, we can now solely able to know about what is Network Node degree? and how to calculate it using OMNeT++. If needed, we will offer any additional information about this calculation or network node degree.

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