How to Calculate Network Energy Efficiency in omnet++

To calculate the network energy efficiency in OMNeT++ has requires to contain measuring how efficiently the network uses energy to achieve its tasks, like transmitting and receiving data. Energy efficiency is specifically vital in wireless sensor networks, where nodes usually operate on limited battery power.

Steps to Calculate Network Energy Efficiency in OMNeT++:

1. Set Up the Network Model:
   • Describe the network topology in OMNeT++ using NED files. It contains setting up nodes, links, and any related energy models that mimic energy consumption.
2. Implement Energy Consumption Model:
   • From the INET framework using OMNeT++’s energy consumption models, like SimpleEpEnergyStorage or IdealEnergyStorage, to mimic the energy usage of network nodes.
   • Each node’s energy consumption will differ based on activities like transmitting, receiving, processing, and idling.
3. Track Energy Usage and Data Transmission:
   • Follow the energy consumed by each node over the course of the simulation.
   • During the simulation, track the amount of data effectively transmitted and received by the network
4. Calculate Energy Efficiency:
   • Energy efficiency can be measured using the formula is Energy Efficiency=Total Data Transmitted (bits)Total Energy Consumed (Joules)\text{Energy Efficiency} = \frac{\text{Total Data Transmitted (bits)}}{\text{Total Energy Consumed (Joules)}}Energy Efficiency=Total Energy Consumed (Joules)Total Data Transmitted (bits)​
   • This metric specifies how many bits of data are transmitted per unit of energy consumed, typically expressed in bits per Joule (bits/J).

Example Implementation: Energy Efficiency in a Wireless Sensor Network

The following is an example of how to calculate network energy efficiency in OMNeT++:

#include <omnetpp.h>

#include “inet/power/storage/SimpleEpEnergyStorage.h”

using namespace omnetpp;

using namespace inet;

class SensorNode : public cSimpleModule {

private:

SimpleEpEnergyStorage *energyStorage;  // Energy storage module

int totalDataTransmitted;              // Total data transmitted in bits

double totalEnergyConsumed;            // Total energy consumed in Joules

protected:

virtual void initialize() override {

energyStorage = check_and_cast<SimpleEpEnergyStorage *>(getParentModule()->getSubmodule(“energyStorage”));

totalDataTransmitted = 0;

totalEnergyConsumed = 0.0;

// Schedule the first activity (e.g., sensing or transmitting)

scheduleAt(simTime() + par(“activityInterval”).doubleValue(), new cMessage(“activity”));

}

virtual void handleMessage(cMessage *msg) override {

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

// Simulate data transmission

int dataSize = par(“dataSize”).intValue();  // in bits

totalDataTransmitted += dataSize;

// Simulate energy consumption due to activity (e.g., transmitting)

double energyConsumed = par(“energyConsumptionPerActivity”).doubleValue();

energyStorage->draw(energyConsumed);

totalEnergyConsumed += energyConsumed;

EV << “Node ” << getId() << ” transmitted ” << dataSize << ” bits, consumed ” << energyConsumed << ” J\n”;

// Check if the node has run out of energy

if (energyStorage->getResidualEnergyCapacity() <= 0) {

EV << “Node ” << getId() << ” has depleted its energy and is now inactive.\n”;

cancelAndDelete(msg);  // Stop further activities

} else {

// Schedule the next activity

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

}

}

}

virtual void finish() override {

// Calculate and log energy efficiency

double energyEfficiency = (totalEnergyConsumed > 0) ? totalDataTransmitted / totalEnergyConsumed : 0.0;

EV << “Total Data Transmitted: ” << totalDataTransmitted << ” bits\n”;

EV << “Total Energy Consumed: ” << totalEnergyConsumed << ” Joules\n”;

EV << “Energy Efficiency: ” << energyEfficiency << ” bits/J\n”;

}

};

Define_Module(SensorNode);

Explanation:

• SensorNode Module:
  • Energy Storage: Uses SimpleEpEnergyStorage to model the energy storage in each sensor node. It tracks the balancing energy as the node utilizes energy during its activities.
  • Data Transmission: Each time the node transmits data, the size of the data (in bits) is inserted to totalDataTransmitted.
  • Energy Consumption: For each activity like data transmission, the energy consumed is subtracted from the node’s energy storage and inserted to totalEnergyConsumed.
• finish() Function:
  • The function evaluates the energy efficiency by dividing the total data transmitted by the total energy consumed at the end of the simulation,
  • The result, expressed in bits per Joule (bits/J), is logged as the energy effectiveness of the node.

5. Run the Simulation:

• Compile and run the OMNeT++ project. The simulation will compute the energy consumed and the data transmitted by each node, permitting to compute the energy efficiency.

6. Analyse and Interpret Results:

• To analyse the energy efficiency of the network by using the simulation results. Higher energy efficiency specifies a more efficient use of energy for transmitting data, which is critical in energy-constrained networks like wireless sensor networks.

Additional Considerations:

• Network Scalability: If we are mimicking a large network, consider the scalability of the energy model. The efficiency might different based on network size and traffic load.
• Energy-Saving Techniques: Employing energy-saving techniques like duty cycling, energy-efficient routing, or data aggregation could develop the network’s energy efficiency.
• Different Scenarios: Investigate with various scenarios, like changing traffic patterns or network load, to know how these factors affect energy efficiency.

Over this paper, we are provided to measuring how efficiently the network uses energy to achieve its tasks and calculate Network Energy Efficiency in OMNeT++. We are offer further insights into the network energy efficiency in various tools.

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