How to Calculate Network Power Consumption in omnet++

To calculate the network power consumption in OMNeT++ has encompasses to monitor the energy usage of network nodes as they achieve several operations like transmitting, receiving, processing, and idling. Power consumption is crucial parameters in wireless networks, sensor networks, and IoT applications where energy efficiency is essential. The given below is the structured procedures on how to calculate the network power consumption in OMNeT++:

Step-by-step Implementation:

1. Understand Network Power Consumption

Network power consumption is defined to the instantaneous power used by network nodes to perform several operations. The key components contributing to power consumption that contain:

• Transmission Power: Power consumed during data transmission.
• Reception Power: Power consumed while receiving data.
• Processing Power: Power consumed by the CPU while processing data.
• Idle Power: Power consumed when the node is idle but still active.

2. Set up a Network with Power Components

Generate a network topology that contains nodes with power consumption models using the OMNeT++. These nodes will consume power based on their activities, and the total power consumption will be tracked.

Example: Define a Simple Network with Power-Aware Nodes in NED

network PowerConsumptionNetwork {

submodules:

node[10]: PowerAwareNode;  // Array of 10 nodes with power models

}

3. Implement Power Consumption Calculation

We need to monitor the power consumed by each node during its several activities.

Example: Implementing Power Consumption Tracking

#include <omnetpp.h>

using namespace omnetpp;

class PowerAwareNode : public cSimpleModule {

private:

double transmissionPower = 0.5;  // Power in Watts (W)

double receptionPower = 0.3;     // Power in Watts (W)

double processingPower = 0.2;    // Power in Watts (W)

double idlePower = 0.1;          // Power in Watts (W)

double totalPowerConsumption = 0; // Total power consumption in Joules

simtime_t lastUpdateTime;

protected:

virtual void initialize() override {

lastUpdateTime = simTime();

scheduleAt(simTime() + 1.0, new cMessage(“powerUpdate”));  // Periodic power update

}

virtual void handleMessage(cMessage *msg) override {

// Update power consumption based on time passed since the last update

updatePowerConsumption();

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

consumePower(transmissionPower, 1);  // Assume sending takes 1 second

} else if (strcmp(msg->getName(), “receivePacket”) == 0) {

consumePower(receptionPower, 1);  // Assume receiving takes 1 second

} else if (strcmp(msg->getName(), “processData”) == 0) {

consumePower(processingPower, 0.5);  // Assume processing takes 0.5 seconds

}

// Schedule the next power update

scheduleAt(simTime() + 1.0, msg);

}

void updatePowerConsumption() {

simtime_t elapsedTime = simTime() – lastUpdateTime;

consumePower(idlePower, elapsedTime.dbl());  // Idle power consumption during elapsed time

lastUpdateTime = simTime();

}

void consumePower(double power, double duration) {

double powerConsumed = power * duration;  // Power = Power * Time (in Joules)

totalPowerConsumption += powerConsumed;

EV << “Node ” << getFullPath() << ” consumed ” << powerConsumed << ” Joules, total power consumed: ” << totalPowerConsumption << ” Joules” << std::endl;

}

virtual void finish() override {

recordScalar(“Total Power Consumption”, totalPowerConsumption);

}

};

Define_Module(PowerAwareNode);

4. Simulate the Network

Execute the simulation to permits nodes to perform several network activities like sending, receiving, processing, and idling. The power consumption for each activity will be tracked and accumulated.

5. Monitor and Analyse Power Consumption

After running the simulation, the total power consumption for each node will be recorded as a scalar value. We need to use OMNeT++’s analysis tools to inspect these values and understand the network’s energy efficiency.

6. Advanced Power Consumption Analysis

For more detailed analysis, we can:

• Vary Traffic Patterns: Test how numerous traffic loads impact the power consumption.
• Implement Power-Saving Modes: To emulate nodes that switch to low-power modes when idle.
• Use Different Power Models: Implement more complex power models that account for factors such as transmission distance, signal strength, etc.

Example: Implementing Power-Saving Modes

void enterLowPowerMode() {

idlePower = 0.05;  // Reduced power consumption in low-power mode

EV << “Node ” << getFullPath() << ” entered low power mode.” << std::endl;

}

void exitLowPowerMode() {

idlePower = 0.1;  // Restore normal idle power

EV << “Node ” << getFullPath() << ” exited low power mode.” << std::endl;

}

7. Example Scenario

In this example, the PowerAwareNode module estimates the power consumed during transmission, reception, processing, and idling. The total power consumption is recorded as scalar outcomes.

network PowerConsumptionExample {

submodules:

node[10]: PowerAwareNode;  // Array of 10 nodes with power models

}

8. Post-Simulation Analysis

Use the scalar outcomes recorded during the simulation to measure power consumption. we can plot the outcomes to see how power usage varies across numerous nodes or how it changes over time.

In the following procedures were very helpful to estimate the energy usage in numerous processing in the network that was executed using the OMNeT++ tool. If you any query regarding the power consumption we will support to provide it.

omnet-manual.com, are dedicated to helping you assess the performance of your network through the lens of Network Power Consumption in the omnet++ program. Our expert team will meticulously analyze the parameter details to deliver precise and insightful results