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How to Implement adaptive routing in OMNeT++

To implement the adaptive routing in OMNeT++, depends on the network conditions like congestion, delay or link failures, it has to change their routing decisions dynamically by creating a simulation. Adaptive routing aims to improve the proficiency and consistency of the network by choosing routes which enhance specific criteria like decreasing delay or ignoring congested paths.For more implementation support on  adaptive routing in OMNeT++ tool you can drop us a message we will provide you with best project ideas.

In the below, we offered the entire implementation of adaptive routing in OMNeT++:

Step-by-Step Implementation:

Step 1: Set Up OMNeT++ and INET Framework

  1. Install OMNeT++:
    • Make sure that you have OMNeT++ installed on your computer.
  2. Install the INET Framework:
    • INET offers a wide range of networking protocols and models. Install the INET Framework from the INET GitHub repository.

Step 2: Create a New OMNeT++ Project

  1. Create the Project:
    • Open OMNeT++ and create a new OMNeT++ project via File > New > OMNeT++ Project.
    • Name it (like AdaptiveRoutingSimulation) and set up the project directory.
  2. Set Up Project Dependencies:
    • Make certain that  project references the INET Framework by right-clicking on your project in the Project Explorer, navigating to Properties > Project References, and checking the INET project.

Step 3: Define the Network Topology

  1. Create a NED File:
    • Use NED language to state the network topology which contains routers or hosts that will use adaptive routing.

For instance:

network AdaptiveRoutingNetwork

{

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++;

}

  1. Configure Network Parameters:
    • Simulate a realistic network environment by developing the essential link parameters link bandwidth, delay, and packet loss.

Step 4: Implement the Adaptive Routing Protocol

  1. Define the Adaptive Routing Module:
    • For the adaptive routing protocol, we have to generate a new module that will manage the routing decisions as per the dynamic network conditions in NED.

Example (in NED):

simple AdaptiveRouting

{

parameters:

@display(“i=block/network2”);

gates:

inout lowerLayerIn;

inout lowerLayerOut;

}

  1. Implement Adaptive Routing Logic in C++:
  • Depends on the current network conditions like congestion, delay or link quality, it will pick the best path flexibly by executing the routing logic in C++.

Example (C++ implementation):

#include <map>

#include “inet/common/INETDefs.h”

#include “inet/networklayer/contract/IRoutingTable.h”

#include “inet/networklayer/ipv4/IPv4RoutingTable.h”

class AdaptiveRouting : public cSimpleModule

{

private:

std::map<std::string, double> linkCosts;  // Stores dynamic costs for each link

IRoutingTable *routingTable;

protected:

virtual void initialize() override;

virtual void handleMessage(cMessage *msg) override;

void updateLinkCosts();

void selectBestRoute();

};

Define_Module(AdaptiveRouting);

void AdaptiveRouting::initialize() {

routingTable = getModuleFromPar<IRoutingTable>(par(“routingTableModule”), this);

// Initialize link costs with default values

linkCosts[“router1-router2”] = 1.0;

linkCosts[“router2-router3”] = 1.0;

linkCosts[“router3-router4”] = 1.0;

linkCosts[“router4-router1”] = 1.0;

// Start periodic updates of link costs

scheduleAt(simTime() + 1, new cMessage(“UpdateLinkCosts”));

}

void AdaptiveRouting::handleMessage(cMessage *msg) {

if (msg->isSelfMessage()) {

updateLinkCosts();

selectBestRoute();

scheduleAt(simTime() + 1, msg);  // Reschedule the update

} else {

// Handle incoming packets and route them based on the current routing table

}

}

void AdaptiveRouting::updateLinkCosts() {

// Here, you would collect data about current network conditions (e.g., congestion, delay)

// For this example, we simulate changing link costs randomly

linkCosts[“router1-router2”] = uniform(0.5, 2.0);

linkCosts[“router2-router3”] = uniform(0.5, 2.0);

linkCosts[“router3-router4”] = uniform(0.5, 2.0);

linkCosts[“router4-router1”] = uniform(0.5, 2.0);

EV << “Updated link costs: ”

<< “r1-r2: ” << linkCosts[“router1-router2”]

<< “, r2-r3: ” << linkCosts[“router2-router3”]

<< “, r3-r4: ” << linkCosts[“router3-router4”]

<< “, r4-r1: ” << linkCosts[“router4-router1”] << endl;

}

void AdaptiveRouting::selectBestRoute() {

// Use Dijkstra’s algorithm or any other algorithm to select the best route

// based on the current link costs 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 (linkCosts[“router1-router2”] < linkCosts[“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 << “Selected best route based on current link costs.” << endl;

}

    • Dynamic Link Costs: The module maintains and periodically updates link costs based on current network conditions.
    • Routing Decision: The module dynamically selects the best route using an algorithm like Dijkstra’s, considering the updated link costs.
    • Routing Table Updates: The routing table is updated according to the selected best route.

Step 5: Set Up the Simulation

  1. Configure the Simulation in omnetpp.ini:
    • Set up the simulation parameters like simulation time, network settings, and traffic patterns.

Sample:

network = AdaptiveRoutingNetwork

sim-time-limit = 100s

# 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)

  1. Traffic Configuration:
    • Generate the network activity and activating the routing decisions we have to set up application-level traffic among the nodes.

Step 6: Run the Simulation

  1. Compile the Project:
    • Make certain that everything is properly executed and compiled.
  2. Run Simulations:
    • Use OMNeT++’s IDE or command line to implement the simulations. Monitor the behavior of the adaptive routing protocol, particularly how it adjusts to network conditions in real-time.

Step 7: Analyze the Results

  1. Monitor Routing Adaptation:
    • Assess how swiftly and efficiently the routing protocol adjusts to changes in network conditions.
  2. Evaluate Protocol Performance:
    • Analyze key performance metrics like route optimality, network utilization, and packet delivery ratio.
    • Scalars and Vectors: Record and analyze the scalar and vector like regularity of route changes and the complete network performance using OMNeT++ tools.
  3. Check for Issues:
    • Look for issues like routing loops or instability, especially under hastily varying network conditions.

This procedure offered the step-by-step guide to help you implement adaptive routing in OMNeT++ using the INET framework from the basic set up to analyzing the results. We will provide any details regarding this script, if needed.

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