To implement the bundling protocol in OMNeT++, we have to group (“BUNDLING”) the data packets together before it transmitted through the network by generating a simulation. This protocol can optimize network efficiency by decreasing overhead, particularly in delay-tolerant networks (DTNs) where the data might be transferred across long distances with sporadic connectivity.
Here, we provide a step-by-step guide on how to implement bundling protocols in OMNeT++:
Step-by-Step Implementation:
Generate a network topology where nodes can communicate with each other. These nodes will execute the bundling protocol, where data is collected, bundled, and transmitted.
Example NED File (BundlingNetwork.ned):
package mynetwork;
import inet.node.inet.StandardHost;
import inet.node.inet.Router;
network BundlingNetwork
{
submodules:
nodeA: StandardHost {
@display(“p=100,200”);
}
nodeB: StandardHost {
@display(“p=300,200”);
}
router: Router {
@display(“p=200,300”);
}
}
In this example:
Execute the bundling protocol by generating a new module which includes stating how data are aggregated, grouped and transmitted.
Example: Bundling Protocol (BundlingProtocol.ned)
package mynetwork;
import inet.applications.base.ApplicationBase;
simple BundlingProtocol extends ApplicationBase
{
gates:
input upperLayerIn;
output upperLayerOut;
input lowerLayerIn;
output lowerLayerOut;
}
BundlingProtocol.cc (Basic Implementation)
#include “inet/common/INETDefs.h”
#include “inet/applications/base/ApplicationBase.h”
Define_Module(BundlingProtocol);
void BundlingProtocol::initialize(int stage) {
ApplicationBase::initialize(stage);
if (stage == INITSTAGE_LOCAL) {
bundleSizeThreshold = par(“bundleSizeThreshold”).intValue();
bundleTimeout = par(“bundleTimeout”).doubleValue();
bundle.clear();
scheduleAt(simTime() + bundleTimeout, bundleTimeoutEvent);
}
}
void BundlingProtocol::handleMessageWhenUp(cMessage *msg) {
if (msg == bundleTimeoutEvent) {
sendBundle();
scheduleAt(simTime() + bundleTimeout, bundleTimeoutEvent);
} else {
handleUpperMessage(msg);
}
}
void BundlingProtocol::handleUpperMessage(cMessage *msg) {
bundle.push_back(msg);
if (bundle.size() >= bundleSizeThreshold) {
sendBundle();
}
}
void BundlingProtocol::sendBundle() {
if (!bundle.empty()) {
cPacket *bundlePacket = new cPacket(“Bundle”);
for (auto &msg : bundle) {
bundlePacket->encapsulate(check_and_cast<cPacket *>(msg));
}
sendDown(bundlePacket);
bundle.clear();
}
}
void BundlingProtocol::finish() {
if (!bundle.empty()) {
sendBundle(); // Send any remaining messages
}
}
In this sample:
In omnetpp.ini file, we need to configure the simulation to use the custom bundling protocol.
Example Configuration in omnetpp.ini:
network = BundlingNetwork
**.nodeA.applications[0].typename = “BundlingProtocol”
**.nodeB.applications[0].typename = “BundlingProtocol”
**.nodeA.applications[0].bundleSizeThreshold = 5
**.nodeA.applications[0].bundleTimeout = 1s
**.nodeB.applications[0].bundleSizeThreshold = 5
**.nodeB.applications[0].bundleTimeout = 1s
Run the simulation and observe the bundling process. You can find metrics like the number of bundles sent, the average size of bundles, and the influence on network performance.
Example Configuration for Monitoring Metrics:
network = BundlingNetwork
**.nodeA.applications[0].numBundlesSent.recordScalar = true
**.nodeA.applications[0].averageBundleSize.recordScalar = true
**.nodeB.applications[0].numBundlesSent.recordScalar = true
**.nodeB.applications[0].averageBundleSize.recordScalar = true
This configuration logs the number of bundles sent and the average size of the bundles, which can help assess the efficiency of the protocol.
After running the simulation, analyze the results to define the efficiency of the bundling strategy. Consider factors like:
You can extend the basic bundling protocol with additional features includes:
Example: Adaptive Bundling
void BundlingProtocol::handleUpperMessage(cMessage *msg) {
bundle.push_back(msg);
// Adjust bundle size threshold based on network conditions
if (isNetworkCongested()) {
bundleSizeThreshold = std::max(1, bundleSizeThreshold / 2); // Reduce bundle size
} else {
bundleSizeThreshold = std::min(maxBundleSize, bundleSizeThreshold + 1); // Increase bundle size
}
if (bundle.size() >= bundleSizeThreshold) {
sendBundle();
}
}
bool BundlingProtocol::isNetworkCongested() {
// Placeholder for actual congestion detection logic
return uniform(0, 1) > 0.7; // Randomly simulate congestion
}
After completing the simulations, document the bundling strategies examined, the results acquired, and any enhancement made. This will help in understanding the trade-offs amongst bundling and network performance.
Through this process, we completely know about the implementation of bundling protocol in the OMNeT++ with the help of the INET framework’s functionalities. For further requirements, we will offer it as per your requests.
For additional simulation results on Bundling protocols using the OMNeT++ tool, feel free to reach out to the omnet-manual.com team, and we will provide you with prompt assistance.