To implement Traffic-Aware Routing in OMNeT++ has needs to designing a routing protocol that enthusiastically adjust to the current network traffic conditions to enhance path selection. The Traffic-aware routing can support to minimize congestion, diminishing latency, and optimizing the overall network performance. The below is the guide on how to implement Traffic-Aware Routing in OMNeT++:
Step-by-Step Implementation:
Example NED file:
network TrafficAwareNetwork
{
submodules:
host1: StandardHost;
host2: StandardHost;
router1: Router;
router2: Router;
router3: Router;
connections:
host1.ethg++ <–> EthLink <–> router1.ethg++;
router1.ethg++ <–> EthLink <–> router2.ethg++;
router2.ethg++ <–> EthLink <–> router3.ethg++;
router3.ethg++ <–> EthLink <–> host2.ethg++;
router1.ethg++ <–> EthLink <–> router3.ethg++; // Alternative path
}
Example traffic monitoring module:
class TrafficMonitor : public cSimpleModule {
protected:
int packetCount = 0;
simtime_t lastUpdate;
virtual void initialize() override {
lastUpdate = simTime();
scheduleAt(simTime() + 1, new cMessage(“updateTraffic”));
}
virtual void handleMessage(cMessage *msg) override {
if (msg->isSelfMessage()) {
updateTrafficStats();
scheduleAt(simTime() + 1, msg);
} else {
packetCount++;
send(msg, “out”);
}
}
void updateTrafficStats() {
simtime_t timeInterval = simTime() – lastUpdate;
double throughput = packetCount / timeInterval.dbl(); // packets per second
EV << “Current throughput: ” << throughput << ” packets/second” << endl;
packetCount = 0;
lastUpdate = simTime();
}
};
Define_Module(TrafficMonitor);
Example traffic-aware routing logic:
class TrafficAwareRouter : public cSimpleModule {
protected:
virtual void initialize() override {
// Initialization code
}
virtual void handleMessage(cMessage *msg) override {
if (Packet *pkt = dynamic_cast<Packet*>(msg)) {
chooseBestRoute(pkt);
} else {
delete msg;
}
}
void chooseBestRoute(Packet *pkt) {
int leastCongestedGateIndex = findLeastCongestedGate();
EV << “Routing packet through gate ” << leastCongestedGateIndex << endl;
send(pkt, “out”, leastCongestedGateIndex);
}
int findLeastCongestedGate() {
int bestGate = -1;
double minThroughput = DBL_MAX;
for (int i = 0; i < gateSize(“out”); i++) {
TrafficMonitor *monitor = check_and_cast<TrafficMonitor*>(gate(“out”, i)->getNextGate()->getOwnerModule());
double throughput = monitor->getThroughput(); // Hypothetical method to get current throughput
if (throughput < minThroughput) {
minThroughput = throughput;
bestGate = i;
}
}
return bestGate;
}
};
Define_Module(TrafficAwareRouter);
Note: we would require to execute the method getThroughput() in the TrafficMonitor class to return the current throughput for this example to work.
Example .ini file configuration:
network = TrafficAwareNetwork
sim-time-limit = 300s
**.router*.app[0].typename = “TrafficAwareRouter”
**.router*.monitor.typename = “TrafficMonitor”
**.host*.app[0].typename = “UdpBasicApp”
**.host*.app[0].destAddresses = “host2”
**.host*.app[0].messageLength = 1000B
**.host*.app[0].sendInterval = uniform(1, 5)
Example Python script for analyzing latency:
import pandas as pd
import matplotlib.pyplot as plt
data = pd.read_csv(‘results/scalars.csv’)
latencies = data[data[‘name’].str.contains(‘endToEndDelay’)][‘value’]
plt.hist(latencies, bins=50)
plt.xlabel(‘End-to-End Delay (s)’)
plt.ylabel(‘Frequency’)
plt.title(‘End-to-End Delay Distribution’)
plt.show()
Additional Considerations:
In this setup, we can get knowledge on how to execute the traffic aware routing in OMNeT++ tool that effectively optimize the path selection. We also deliver the numerous kinds of information about traffic aware routing. We work on traffic-aware routing in OMNeT++ tool projects and provide you with the best results. Receive implementation assistance from us.