To implement the network offloading in OMNeT++ required to encompass the situation where the data or measurement tasks are ridded from one network or node to another to lessen congestion, save energy, or optimize performance. It is predominantly applicable in scenarios like mobile edge computing, where tasks are offloaded from mobile devices to edge servers, or in cellular networks where data is offloaded to Wi-Fi networks.
Follow the step-by-step guide on how to implement network offloading in OMNeT++ using the INET framework:
Step-by-Step Implementation:
Start by generating the network topology which contains mobile devices, Wi-Fi access points, cellular base stations, and possibly an edge server. These components will interact during the offloading process.
Example NED File (OffloadingNetwork.ned):
package mynetwork;
import inet.node.inet.StandardHost;
import inet.node.inet.Router;
import inet.node.inet.AccessPoint;
network OffloadingNetwork
{
submodules:
mobileNode: StandardHost {
@display(“p=100,200”);
}
wifiAP: AccessPoint {
@display(“p=300,200”);
}
baseStation: Router {
@display(“p=500,200”);
}
edgeServer: StandardHost {
@display(“p=400,300”);
}
}
In this example:
State how data flows between the components by creating a connection amongst them. The mobile device should be able to communicate with both the Wi-Fi AP and the base station.
Example Connections in the NED File:
connections allowunconnected:
mobileNode.wlan[0] <–> wlan[0] <–> wifiAP.wlan[0];
mobileNode.pppg++ <–> ethernetLine <–> baseStation.pppg++;
wifiAP.pppg++ <–> ethernetLine <–> edgeServer.pppg++;
baseStation.pppg++ <–> ethernetLine <–> edgeServer.pppg++;
Execute the logic for determining when and how to offload tasks or data. It can contain checking the current network conditions like bandwidth or latency, and then offloading the task to the Wi-Fi network or edge server if conditions are favorable.
Example: Simple Offloading Decision Based on Bandwidth (C++)
#include “inet/common/INETDefs.h”
#include “inet/linklayer/common/MacAddress.h”
#include “inet/applications/udpapp/UdpBasicApp.h”
Define_Module(MobileNode);
void MobileNode::initialize(int stage) {
if (stage == INITSTAGE_LOCAL) {
// Initialize offloading parameters
offloadingThreshold = par(“offloadingThreshold”).doubleValue();
isOffloading = false;
checkOffloadingTimer = new cMessage(“checkOffloadingTimer”);
scheduleAt(simTime() + par(“offloadingCheckInterval”), checkOffloadingTimer);
}
}
void MobileNode::handleMessage(cMessage *msg) {
if (msg == checkOffloadingTimer) {
checkOffloading();
scheduleAt(simTime() + par(“offloadingCheckInterval”), checkOffloadingTimer);
} else {
// Handle other messages
handleApplicationMessage(msg);
}
}
void MobileNode::checkOffloading() {
double wifiBandwidth = measureBandwidth(“wifiAP”);
double cellularBandwidth = measureBandwidth(“baseStation”);
if (wifiBandwidth > offloadingThreshold && !isOffloading) {
EV << “Offloading to Wi-Fi network\n”;
offloadTask(“wifiAP”);
isOffloading = true;
} else if (cellularBandwidth > offloadingThreshold && isOffloading) {
EV << “Reverting to cellular network\n”;
stopOffloading();
isOffloading = false;
}
}
double MobileNode::measureBandwidth(const char *destModuleName) {
// Placeholder for actual bandwidth measurement
return uniform(0, 10); // Random bandwidth value for this example
}
void MobileNode::offloadTask(const char *destModuleName) {
// Logic to offload task to the destination module
// This could involve sending data or computation requests to the edge server
}
void MobileNode::stopOffloading() {
// Logic to stop offloading and revert back to local processing or cellular network
}
void MobileNode::handleApplicationMessage(cMessage *msg) {
// Handle incoming application messages, possibly related to offloaded tasks
// …
}
In this sample:
Run the simulation and observing the offloading process. You can track metrics like bandwidth usage, task completion times, and the overall network load.
Example Configuration for Monitoring Offloading Metrics:
network = OffloadingNetwork
**.mobileNode.offloadingTime.recordScalar = true
**.mobileNode.wifiUsage.recordScalar = true
**.mobileNode.cellularUsage.recordScalar = true
This configuration logs the time taken to offload tasks, as well as the usage of Wi-Fi and cellular networks.
After running the simulation, analyze the results to define the efficiency of the offloading strategy. Consider factors like:
You can extend the basic offloading strategy with additional features like:
Example: Multi-criteria Offloading
void MobileNode::checkOffloading() {
double wifiBandwidth = measureBandwidth(“wifiAP”);
double cellularBandwidth = measureBandwidth(“baseStation”);
double batteryLevel = getBatteryLevel();
if (wifiBandwidth > offloadingThreshold && batteryLevel > batteryThreshold) {
EV << “Offloading to Wi-Fi network based on multi-criteria\n”;
offloadTask(“wifiAP”);
isOffloading = true;
} else if (cellularBandwidth > offloadingThreshold || batteryLevel < batteryThreshold) {
EV << “Reverting to cellular network or stopping offloading\n”;
stopOffloading();
isOffloading = false;
}
}
After accomplishing simulations, document the offloading strategies examined, the results obtained, and any optimizations made. This will help in understanding the trade-offs amongst local processing and offloading in various network conditions.
This procedure successfully makes you understand the whole process on how to implement the Network Offloading in OMNeT++ with the help of INET framework’s protocols and mechanisms. If needed, we will provide any extra details of this process to you.
To effectively implement network offloading within the OMNeT++ tool, it is advisable to consult omnet-manual.com for comprehensive guidance.