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How to Calculate Network End to End Delay in omnet++

To calculate the network end-to-end delay in OMNeT++ has requires encompasses calculating the time it takes for a packet to travel from the source node to the end node across the network. It involves all delays encountered during transmission, with processing, queuing, and propagation delays.

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Steps to Calculate End-to-End Delay in OMNeT++:

  1. Set Up the Network Model:
    • Use NED files describe the network topology in OMNeT++. It includes creating nodes, configuring links with specific data rates and delays, and setting up routing protocols if required.
  2. Implement Traffic Generation:
    • Use or make modules to generate traffic in the network. It can be done using applications like UdpApp, TcpApp, or custom traffic generators.
    • Make sure that packets are sent from the source node to the destination node, which is where we will calculate the end-to-end delay.
  3. Record Send and Receive Times:
    • To determine the end-to-end delay, we will want to record the time when each packet is sent at the source and the time when it is received at the end.
  4. Calculate End-to-End Delay:
    • End-to-end delay for a packet can be evaluated using the formula is End-to-End Delay=Receive Time−Send Time\text{End-to-End Delay} = \text{Receive Time} – \text{Send Time}End-to-End Delay=Receive Time−Send Time
    • We can calculate the average end-to-end delay over all packets to get an overall measure.

Example Implementation:

Below is an example of how to calculate end-to-end delay in OMNeT++:

#include <omnetpp.h>

using namespace omnetpp;

class EndToEndDelayModule : public cSimpleModule {

private:

simsignal_t sendTimeSignal;

simsignal_t endToEndDelaySignal;

int packetsReceived;

simtime_t totalDelay;

protected:

virtual void initialize() override {

packetsReceived = 0;

totalDelay = SIMTIME_ZERO;

// Register signals for collecting data

sendTimeSignal = registerSignal(“sendTime”);

endToEndDelaySignal = registerSignal(“endToEndDelay”);

// Schedule first packet send (if generating traffic)

scheduleAt(simTime() + par(“sendInterval”).doubleValue(), new cMessage(“send”));

}

virtual void handleMessage(cMessage *msg) override {

if (msg->isSelfMessage()) {

// Simulate sending a packet

cMessage *packet = new cMessage(“dataPacket”);

simtime_t sendTime = simTime();

packet->setTimestamp(sendTime);  // Record the send time

send(packet, “out”);

// Schedule next packet send

scheduleAt(simTime() + par(“sendInterval”).doubleValue(), new cMessage(“send”));

delete msg;

} else {

// Packet received at the destination

simtime_t receiveTime = simTime();

simtime_t sendTime = msg->getTimestamp();

simtime_t endToEndDelay = receiveTime – sendTime;

totalDelay += endToEndDelay;

packetsReceived++;

// Emit end-to-end delay signal for analysis

emit(endToEndDelaySignal, endToEndDelay);

delete msg;

}

}

virtual void finish() override {

// Calculate and print the average end-to-end delay

double averageDelay = (packetsReceived > 0) ? totalDelay.dbl() / packetsReceived : 0;

EV << “Total Packets Received: ” << packetsReceived << “\n”;

EV << “Total End-to-End Delay: ” << totalDelay << ” seconds\n”;

EV << “Average End-to-End Delay: ” << averageDelay << ” seconds\n”;

}

};

Define_Module(EndToEndDelayModule);

Explanation:

  • initialize() Function:
    • Initializes the counters and registers signals for gathering data on send time and end-to-end delay.
    • Lists the first packet transmission.
  • handleMessage() Function:
    • Controls both self-messages (for sending packets) and received messages (packets).
    • When a packet is sent, the present simulation time is noted as the send time.
    • When the packet is received, the delay is measured by subtracting the send time from the current time (receive time).
  • finish() Function:
    • This function calculates the average end-to-end delay by dividing the total delay by the number of packets received at the end of the simulation.
    • The results, containing total packets received, total delay, and average delay, are printed.
  1. Run the Simulation:
  • Compile the OMNeT++ project and run the simulation. Check the console output or logs to see the assessed end-to-end delay after the simulation completes.
  1. Analyze and Interpret Results:
  • The end-to-end delay offers insight into the time it takes for packets to traverse the network. Low delay is vital for time-sensitive applications like VoIP, video conferencing, and real-time gaming.

Additional Considerations:

  • Traffic Patterns: The pattern of traffic like bursty vs. constant can significantly impact the end-to-end delay. Investigate with various traffic patterns to see how they affect delay.
  • Network Conditions: Factors like network congestion, queuing delays, and processing times can impact the end-to-end delay. Analyse the results under various network conditions to know their impact.

In this paper, we are presented the procedure is helps to calculate Network End to End Delay in OMNeT++ that calculating the time it takes for a packet to travel from the source node to the end node across the network. We will give further details about Network end to end delay according to your needs.

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