To implement the dynamic routing in OMNeT++ encompasses to making a network where routing decisions are always up to date based on the present network conditions like link failures, traffic load, or changing topologies. The dynamic routing is important for adapting the network changes in real-time and make sure effective data delivery. The given below is step-by-step procedure is helpful to implement dynamic routing in OMNeT++ by using the INET framework.
Step-by-Step Implementations:
Step 1: Set Up OMNeT++ and INET Framework
Step 2: Create a New OMNeT++ Project
Step 3: Define the Network Topology
Example:
network DynamicRoutingNetwork
{
submodules:
router1: Router;
router2: Router;
router3: Router;
router4: Router;
connections:
router1.ethg++ <–> Eth10Mbps <–> router2.ethg++;
router2.ethg++ <–> Eth10Mbps <–> router3.ethg++;
router3.ethg++ <–> Eth10Mbps <–> router4.ethg++;
router4.ethg++ <–> Eth10Mbps <–> router1.ethg++;
}
Step 4: Implement the Dynamic Routing Protocol
Example (in NED):
simple DynamicRouting
{
parameters:
@display(“i=block/network2”);
gates:
inout lowerLayerIn;
inout lowerLayerOut;
}
Example (C++ implementation):
#include “inet/common/INETDefs.h”
#include “inet/networklayer/contract/IRoutingTable.h”
#include “inet/networklayer/ipv4/IPv4RoutingTable.h”
class DynamicRouting : public cSimpleModule
{
private:
std::map<std::string, double> linkMetrics; // Stores dynamic metrics for each link
IRoutingTable *routingTable;
protected:
virtual void initialize() override;
virtual void handleMessage(cMessage *msg) override;
void updateLinkMetrics();
void calculateRoutes();
};
Define_Module(DynamicRouting);
void DynamicRouting::initialize() {
routingTable = getModuleFromPar<IRoutingTable>(par(“routingTableModule”), this);
// Initialize link metrics with default values
linkMetrics[“router1-router2”] = 1.0;
linkMetrics[“router2-router3”] = 1.0;
linkMetrics[“router3-router4”] = 1.0;
linkMetrics[“router4-router1”] = 1.0;
// Start periodic updates of link metrics
scheduleAt(simTime() + 1, new cMessage(“UpdateLinkMetrics”));
}
void DynamicRouting::handleMessage(cMessage *msg) {
if (msg->isSelfMessage()) {
updateLinkMetrics();
calculateRoutes();
scheduleAt(simTime() + 1, msg); // Reschedule the update
} else {
// Handle incoming packets and route them based on the current routing table
}
}
void DynamicRouting::updateLinkMetrics() {
// Here, you would collect data about current network conditions (e.g., congestion, delay)
// For this example, we simulate changing link metrics randomly
linkMetrics[“router1-router2”] = uniform(0.5, 2.0);
linkMetrics[“router2-router3”] = uniform(0.5, 2.0);
linkMetrics[“router3-router4”] = uniform(0.5, 2.0);
linkMetrics[“router4-router1”] = uniform(0.5, 2.0);
EV << “Updated link metrics: ”
<< “r1-r2: ” << linkMetrics[“router1-router2”]
<< “, r2-r3: ” << linkMetrics[“router2-router3”]
<< “, r3-r4: ” << linkMetrics[“router3-router4”]
<< “, r4-r1: ” << linkMetrics[“router4-router1”] << endl;
}
void DynamicRouting::calculateRoutes() {
// Use Dijkstra’s algorithm or any other algorithm to select the best routes
// based on the current link metrics and update the routing table accordingly
// For simplicity, this example assumes a direct link update approach
routingTable->clear();
IPv4Route *newRoute = new IPv4Route();
newRoute->setDestination(Ipv4Address::resolve(“router3”));
newRoute->setNetmask(Ipv4Address::ALLONES_ADDRESS);
if (linkMetrics[“router1-router2”] < linkMetrics[“router4-router1”]) {
newRoute->setGateway(Ipv4Address::resolve(“router2”));
newRoute->setInterface(routingTable->getInterfaceByName(“eth0”));
} else {
newRoute->setGateway(Ipv4Address::resolve(“router4”));
newRoute->setInterface(routingTable->getInterfaceByName(“eth1”));
}
newRoute->setSourceType(IPv4Route::MANUAL);
routingTable->addRoute(newRoute);
EV << “Calculated and updated routes based on current link metrics.” << endl;
}
Step 5: Set Up the Simulation
Example:
[General]
network = DynamicRoutingNetwork
sim-time-limit = 100
# Enable scalar and vector recording for analysis
**.scalar-recording = true
**.vector-recording = true
# Application traffic configuration (if needed)
*.router1.numApps = 1
*.router1.app[0].typename = “UdpBasicApp”
*.router1.app[0].destAddress = “router3”
*.router1.app[0].destPort = 5000
*.router1.app[0].messageLength = 1024B
*.router1.app[0].sendInterval = uniform(1s, 2s)
Step 6: Run the Simulation
Step 7: Analyze the Results
Step 8: Refine and Optimize the Protocol
Above details, we are learned to build an OMNeT++ projects, to implement dynamic routing logic in C++, and analysing the results. We will distribute further details about to implement Dynamic Routing in OMNeT++. We have implemented dynamic routing in the OMNeT++ tool; send us the details of your project, and we will provide you with the best simulation outcomes. You can get the best project performance support from omnet-manual.com.