How to Calculate Network Blockage probability in omnet++

To calculate the network blockage probability in the OMNeT++ requires us to state the possibility of the user or a connection attempt will be blocked or denied the access to network resources like bandwidth, channels, or connections. To evaluate the performance and the capacity of a network, especially in situations with limited resources or high user demand, we have to use an essential metric means Blockage probability. If you’re looking for project ideas, we can assist you with that as well. Follow the steps below to calculate the network blockage probability in OMNeT++:

Steps to Calculate Network Blockage Probability in OMNeT++:

Set Up the Network Model:
- State the network topology in OMNeT++ using NED files. As well as nodes like base stations, access points, or routers, and user devices. Configure the network resources (e.g., channels, bandwidth) that users will participate for.
Implement Connection Request and Resource Allocation Logic:
- Simulate connection requests or resource distributions from users. This could involve users attempting to create connections, transmit data, or reserve bandwidth.
Track Blocked Connection Attempts:
- Preserve counters to trace the total count of connection attempts and the number of blocked attempts (i.e., attempts that were rejected due to lack of resources).
Calculate Blockage Probability:
- The blockage probability can be computed using the formula: Blockage Probability=Number of Blocked AttemptsTotal Number of Connection Attempts\text{Blockage Probability} = \frac{\text{Number of Blocked Attempts}}{\text{Total Number of Connection Attempts}}Blockage Probability=Total Number of Connection AttemptsNumber of Blocked Attempts
Log or Analyze Blockage Probability:
- During the simulation, analyze the performance of the network by logging the blockage probability under various conditions. At the end of the simulation or occasionally, we can estimate and log the blockage probability.

Example Implementation: Blockage Probability Calculation

Follow the sample to calculate the network blockage probability in OMNeT++:

#include <omnetpp.h>

using namespace omnetpp;

class BlockageProbabilityModule : public cSimpleModule {

private:

int numConnectionAttempts; // Total number of connection attempts

int numBlockedAttempts; // Number of blocked connection attempts

simsignal_t blockageProbabilitySignal; // Signal to record blockage probability

protected:

virtual void initialize() override {

numConnectionAttempts = 0;

numBlockedAttempts = 0;

blockageProbabilitySignal = registerSignal(“blockageProbabilitySignal”);

// Schedule the first blockage probability calculation

scheduleAt(simTime() + par(“checkInterval”).doubleValue(), new cMessage(“calculateBlockageProbability”));

}

virtual void handleMessage(cMessage *msg) override {

if (strcmp(msg->getName(), “calculateBlockageProbability”) == 0) {

// Calculate and emit blockage probability

double blockageProbability = (numConnectionAttempts > 0) ? (double)numBlockedAttempts / numConnectionAttempts : 0.0;

emit(blockageProbabilitySignal, blockageProbability);

EV << “Blockage Probability: ” << blockageProbability * 100 << ” %\n”;

// Schedule the next calculation

scheduleAt(simTime() + par(“checkInterval”).doubleValue(), msg);

} else {

// Simulate a connection attempt

numConnectionAttempts++;

bool blocked = false;

// Simulate resource allocation logic (example: limited number of channels or bandwidth)

if (par(“availableResources”).intValue() <= 0) {

blocked = true;

}

if (blocked) {

numBlockedAttempts++;

} else {

// Simulate successful connection (decrease available resources)

int availableResources = par(“availableResources”).intValue();

availableResources–;

par(“availableResources”).setIntValue(availableResources);

}

EV << “Connection attempt: ” << (blocked ? “Blocked” : “Successful”) << “\n”;

}

virtual void finish() override {

// Calculate and log the final blockage probability

double blockageProbability = (numConnectionAttempts > 0) ? (double)numBlockedAttempts / numConnectionAttempts : 0.0;

EV << “Final Blockage Probability: ” << blockageProbability * 100 << ” %\n”;

}

};

Define_Module(BlockageProbabilityModule);

Explanation:

BlockageProbabilityModule:
- numConnectionAttempts: Use Counter to determine total number of connection attempts in the network.
- numBlockedAttempts: A counter that tracks the total of blocked connection attempts due to lack of resources.
- blockageProbabilitySignal: Registers a signal to emit the blockage probability for logging or analysis.
initialize() Function:
- Initializes the counters and plans the first calculation of blockage probability.
handleMessage() Function:
- calculateBlockageProbability: Intermittently evaluates the blockage probability and emits it as a signal.
- Connection Attempt Simulation: Increase the numConnectionAttempts counter to simulate a connection attempt. The blocked boolean determines whether the attempt is blocked because of lacking resources. If blocked, numBlockedAttempts is incremented. If successful, available resources are decreased.
finish() Function:
- Logs the final blockage probability at the end of the simulation.

Run the Simulation:

Compile and run OMNeT++ project. The simulation will trace and log the blockage probability, offering insights into the network’s ability to manage connection requests.

Analyze and Interpret Results:

The blockage probability offers intuitions into the network’s capacity and performance. A high blockage probability represents that the network frequently denies connection attempts due to resource limitations, while a low blockage probability suggests that the network can manage most connection requests.

Additional Considerations:

Dynamic Resource Allocation: If the network has dynamic resource distribution (for instance: channels being freed up over time), we may need to account for these changes in the simulation.
Different Scenarios: Consider simulating various user densities, traffic loads, and resource availability situations to see how they impact the blockage probability.
Threshold for Blocking: Depends on the certain criteria like signal quality, available bandwidth, or the number of active users by setting up a threshold for blocking.

From this approach, we can thoroughly know how to calculate network blockage probability in OMNeT++ and understands the network blockage and what to do when blockage occurs. If you have any doubts about this computation, we will help you out of it. We are the top developers offering exceptional simulation and implementation guidance. Share your project details with us for tailored support. Provide us with your parameters, and we will help you achieve optimal results on Network Blockage probability in OMNeT++.