How to Calculate Network Communication Range in omnet++

To calculate the network communication range in OMNeT++ has needs to encompass defining the maximum distance over which nodes can effectively communicate with each other. The communication range is a critical parameter in wireless networks, coverage, connectivity, and affecting network topology.

Step-by-Step Implementations:

1. Understand Network Communication Range

The communication range is the maximum distance among two nodes at which they can still exchange data reliably. This range depends on numerous factors:

• Transmission Power: The power at which a node communicates signals.
• Receiver Sensitivity: The minimum signal strength essential by the receiving node to decode the message.
• Environmental Conditions: Obstacles, interference, and other environmental factors can affect the communication range.
• Path Loss Model: The model that defines how the signal reduces with distance.

2. Set up a Basic Wireless Network

In OMNeT++, generate a network topology that contains wireless nodes. These nodes will communicate with each other, and their capacity to communicate over distance will help to verify the communication range.

Example: Define a Simple Wireless Network in NED

network CommunicationRangeNetwork {

submodules:

node[2]: WirelessNode;  // Two nodes to test communication range

}

3. Implement Communication Range Calculation

We require to simulate communication among two nodes at changing distances and find out the maximum distance at which communication is still successful.

Example: Implementing Communication Range Testing

#include <omnetpp.h>

#include <cmath>

using namespace omnetpp;

class WirelessNode : public cSimpleModule {

private:

double transmissionPower = 1.0;  // Transmission power in mW (example)

double receiverSensitivity = -85.0;  // Receiver sensitivity in dBm (example)

double pathLossExponent = 2.0;  // Path loss exponent (free-space model)

double maxDistance = 1000.0;  // Max distance to test (example)

double stepSize = 1.0;  // Step size for distance increment

protected:

virtual void initialize() override {

// Only one node needs to perform the test, assuming node[0] is the transmitter

if (getIndex() == 0) {

double communicationRange = calculateCommunicationRange();

EV << “Calculated Communication Range: ” << communicationRange << ” meters” << std::endl;

recordScalar(“Communication Range”, communicationRange);

}

}

double calculateCommunicationRange() {

for (double distance = stepSize; distance <= maxDistance; distance += stepSize) {

double receivedPower = calculateReceivedPower(distance);

if (receivedPower < receiverSensitivity) {

return distance – stepSize;

}

}

return maxDistance;  // If no break, max distance is the range

}

double calculateReceivedPower(double distance) {

// Free-space path loss model: Pr = Pt / (d^n)

// Pr: received power, Pt: transmission power, d: distance, n: path loss exponent

double pathLoss = 10 * pathLossExponent * log10(distance);

double receivedPower = transmissionPower – pathLoss;  // In dBm

return receivedPower;

}

};

Define_Module(WirelessNode);

4. Simulate the Network

Run the simulation to permit the node to compute the communication range based on the conditions set in the module.

5. Monitor and Analyse Communication Range

The calculated communication range is recorded as a scalar value after running the simulation. We can use OMNeT++’s analysis tools to observe this value and know the effective communication range under the simulated conditions.

6. Advanced Communication Range Analysis

For a more detailed analysis, we can:

• Vary Environmental Conditions: Contain obstacles or interference models to see how they impression the communication range.
• Test Different Path Loss Models: Execute various path loss models like urban, suburban to mimic several environments.
• Simulate Mobility: Experiment how the communication range modifies as nodes move closer or additional apart.

7. Example Scenario

In the given example, the WirelessNode module computes the communication range based on a free-space path loss model and records the result.

network CommunicationRangeExample {

submodules:

node[2]: WirelessNode;  // Two nodes to test communication range

}

8. Post-Simulation Analysis

Use the scalar results recorded during the simulation to analyse the communication range under various conditions. We can plot the results to compare how numerous factors affect the range.

Hence, we are provided details to understand and get knowledge to calculate the Communication Range using OMNeT++. We will deliver more information depends on your needs. Drop your parameter details with us, and we will help you with your Network Communication Range using the omnet++ tool for your project. We handle network simulation performance based on your parameters. The experts at omnet-manual.com are here to support your research.