How to Implement Bio Inspired Routing in OMNeT++

To implement Bio-inspired routing in OMNeT++, we have to generate a routing algorithm that simulates biological processes or actions like those discovered in ant colonies, bees or genetic evolution. It is commonly used in wireless sensor networks (WSNs), ad hoc networks, or mobile networks where adaptive, decentralized decision-making is beneficial. Below, we provide the step-by-step approach to execute this in OMNeT++:

Steps to Implement Bio-Inspired Routing in OMNeT++

1. Install OMNeT++ and INET Framework:
   • Make certain OMNeT++ and the INET frameworks are installed. INET is a useful foundation for network simulation however you may need to extend it for certain bio-inspired routing features.
2. Define Network Topology:
   • In .ini file, generate a network topology that contains nodes (example: sensors, routers) which will use the bio-inspired routing algorithm to communicate.
3. Implement the Bio-Inspired Routing Algorithm:
   • Execute the routing logic in a custom C++ module. For example, you might select an Ant Colony Optimization (ACO) algorithm, where nodes (ants) search for paths and communicate via pheromones (signal strength or path cost).
4. Integrate the Routing Algorithm with Nodes:
   • Fine-tune or expand the network nodes to use the bio-inspired routing algorithm for pathfinding and packet forwarding.
5. Simulation Configuration:
   • Configure the simulation parameters in the .ini file. This contains parameters for the bio-inspired algorithm like pheromone decay rates, exploration factors, and communication thresholds.
6. Run and Analyze the Simulation:
   • Execute the simulation and assess how the bio-inspired routing algorithm performs in terms of metrics like packet delivery ratio, latency, and energy consumption.

Example: Ant Colony Optimization (ACO) Routing

Below is an example configuration to execute a simple Ant Colony Optimization (ACO) routing algorithm in OMNeT++.

1. Network Definition in .ned File

network BioInspiredNetwork

{

submodules:

node1: SensorNode {

@display(“p=100,200”);

}

node2: SensorNode {

@display(“p=200,200”);

}

node3: SensorNode {

@display(“p=300,200”);

}

node4: SensorNode {

@display(“p=200,100”);

}

connections:

node1.radioModule <–> node2.radioModule;

node2.radioModule <–> node3.radioModule;

node2.radioModule <–> node4.radioModule;

node3.radioModule <–> node4.radioModule;

}

2. Implement ACO-Based Routing Module

Create a C++ module that implements the ACO routing logic.

class ACORouting : public cSimpleModule

{

protected:

struct PheromoneTableEntry {

int nextHop;

double pheromone;

};

std::map<int, PheromoneTableEntry> pheromoneTable;

virtual void initialize() override;

virtual void handleMessage(cMessage *msg) override;

void updatePheromone(int destination, int nextHop, double deltaPheromone);

int selectNextHop(int destination);

public:

void forwardPacket(cPacket *packet);

};

Define_Module(ACORouting);

void ACORouting::initialize()

{

// Initialize pheromone table

// Assume node IDs are integers and neighbors are directly connected nodes

}

void ACORouting::handleMessage(cMessage *msg)

{

if (cPacket *packet = dynamic_cast<cPacket *>(msg)) {

int destination = packet->getDestination();

int nextHop = selectNextHop(destination);

if (nextHop != -1) {

send(packet, “out”, nextHop);

updatePheromone(destination, nextHop, 0.1); // Add pheromone

} else {

delete packet; // Drop packet if no path found

}

}

}

void ACORouting::updatePheromone(int destination, int nextHop, double deltaPheromone)

{

if (pheromoneTable.find(destination) != pheromoneTable.end()) {

pheromoneTable[destination].pheromone += deltaPheromone;

} else {

PheromoneTableEntry entry = {nextHop, deltaPheromone};

pheromoneTable[destination] = entry;

}

}

int ACORouting::selectNextHop(int destination)

{

if (pheromoneTable.find(destination) != pheromoneTable.end()) {

return pheromoneTable[destination].nextHop;

}

return -1; // No path found

}

void ACORouting::forwardPacket(cPacket *packet)

{

int destination = packet->getDestination();

int nextHop = selectNextHop(destination);

if (nextHop != -1) {

send(packet, “out”, nextHop);

} else {

delete packet; // Drop packet if no path found

}

}

3. Modify Node Modules to Use ACO Routing

Extend the sensor node modules to incorporate the ACO routing module.

simple SensorNode

{

gates:

input radioIn;

output radioOut;

submodules:

radioModule: Radio {

@display(“p=50,50”);

}

routing: ACORouting {

@display(“p=100,100”);

}

connections:

radioIn –> routing.in;

routing.out –> radioOut;

}

4. Configure the Simulation in .ini File

[General]

network = BioInspiredNetwork

sim-time-limit = 100s

**.numNodes = 4

**.radio.txPower = 1mW

**.routing.pheromoneDecayRate = 0.05

**.routing.pheromoneBoost = 0.1

Running the Simulation

• Compile the code and run the simulation in OMNeT++.
• Monitor the actions of the ACO routing algorithm like how packets are directed across the network and how the pheromone levels impact the path selection.

From this procedure, we comprehensively delivered the implementation steps of Bio Inspired Routing in OMNeT++ using Routing algorithm and INET framework which provides the additional features. Furthermore, we plan to offer extra details of ant colony and so on. To Implement Bio Inspired Routing in OMNeT++ tool we will guide you at each and evry step ,stay in touch with us to know in this area.