How to Implement data centric protocol in OMNeT++
To implement the data-centric protocol in OMNeT++ requires a protocol that should focus on the data instead of the nodes that generate or receive the data. This protocol is commonly used in sensor networks and different situations in which the data’s content is more important than the node’s addressed. Directed Diffusion is an example of data-centric protocol which emphasizes data aggregation and query-based data dissemination. Here is a step-by-step guide to help you implement a basic data-centric protocol in OMNeT++ using the INET framework.
Step-by-Step Implementation:
Step 1: Set Up OMNeT++ and INET Framework
- Install OMNeT++: Install the OMNeT++ on your system.
- Install INET Framework: Make sure to also install the INET framework.
Step 2: Define the Data-Centric Protocol
In this sample, we will create a basic data-centric protocol module that can handle data dissemination depends on interests and data events.
Define the Module in .ned File
Create a .ned file for the data-centric protocol module.
simple DataCentricProtocol
{
parameters:
@display(“i=block/cogwheel”);
double interestInterval @unit(s) = default(5s); // Interval for sending interest messages
gates:
input fromNetworkLayer;
output toNetworkLayer;
input fromMacLayer;
output toMacLayer;
}
Implement the Module in C++
Create the corresponding .cc and .h files.
DataCentricProtocol.h
#ifndef __DATACENTRICPROTOCOL_H_
#define __DATACENTRICPROTOCOL_H_
#include <omnetpp.h>
#include “inet/networklayer/contract/IRoutingTable.h”
#include “inet/common/INETDefs.h”
#include “inet/networklayer/common/L3AddressResolver.h”
#include <map>
using namespace omnetpp;
using namespace inet;
class DataCentricProtocol : public cSimpleModule
{
private:
double interestInterval;
cMessage *interestMsg;
std::map<std::string, int> interestTable; // Stores interests and their counts
std::map<std::string, int> dataCache; // Caches received data
protected:
virtual void initialize() override;
virtual void handleMessage(cMessage *msg) override;
void sendInterest();
void processInterest(cMessage *msg);
void processDataEvent(cMessage *msg);
void cacheData(const std::string &data);
public:
DataCentricProtocol();
virtual ~DataCentricProtocol();
};
#endif
DataCentricProtocol.cc
#include “DataCentricProtocol.h”
Define_Module(DataCentricProtocol);
DataCentricProtocol::DataCentricProtocol()
{
interestMsg = nullptr;
}
DataCentricProtocol::~DataCentricProtocol()
{
cancelAndDelete(interestMsg);
}
void DataCentricProtocol::initialize()
{
interestInterval = par(“interestInterval”);
interestMsg = new cMessage(“sendInterest”);
scheduleAt(simTime() + interestInterval, interestMsg);
}
void DataCentricProtocol::handleMessage(cMessage *msg)
{
if (msg == interestMsg)
{
sendInterest();
scheduleAt(simTime() + interestInterval, interestMsg);
}
else if (strcmp(msg->getName(), “Interest”) == 0)
{
processInterest(msg);
}
else if (strcmp(msg->getName(), “DataEvent”) == 0)
{
processDataEvent(msg);
}
else if (dynamic_cast<cPacket *>(msg))
{
// Handle incoming data packets
std::string data = msg->par(“data”).stringValue();
cacheData(data);
send(msg, “toMacLayer”);
}
else
{
// Handle other messages
}
}
void DataCentricProtocol::sendInterest()
{
cMessage *interest = new cMessage(“Interest”);
interest->addPar(“data”) = “temperature”; // Example interest
send(interest, “toMacLayer”);
}
void DataCentricProtocol::processInterest(cMessage *msg)
{
// Process received interest message
std::string data = msg->par(“data”).stringValue();
interestTable[data]++;
delete msg;
}
void DataCentricProtocol::processDataEvent(cMessage *msg)
{
// Process received data event
std::string data = msg->par(“data”).stringValue();
if (interestTable.find(data) != interestTable.end())
{
// Forward data to interested nodes
send(msg, “toMacLayer”);
}
else
{
// Cache the data
cacheData(data);
delete msg;
}
}
void DataCentricProtocol::cacheData(const std::string &data)
{
// Cache the data
dataCache[data]++;
}
Step 3: Integrate with Simulation Model
Integrate the DataCentricProtocol module within network simulation model.
Network Configuration .ned File
network DataCentricNetwork
{
submodules:
node1: StandardHost {
parameters:
@display(“p=100,100”);
}
node2: StandardHost {
parameters:
@display(“p=300,100”);
}
// Add more nodes as needed
connections:
node1.pppg++ <–> { @display(“m=100,100”); } <–> node2.pppg++;
}
omnetpp.ini Configuration
network = DataCentricNetwork
*.node*.pppg[*].queue.typename = “DropTailQueue”
*.node*.ipv4.routingTable = “inet.networklayer.routing.manet.Router”
*.node*.networkLayer.networkProtocol.typename = “IPv4NetworkLayer”
*.node*.transportLayer.tcp.typename = “Tcp”
*.node*.transportLayer.udp.typename = “Udp”
*.node*.application[*].typename = “UdpBasicApp”
*.node*.application[*].destAddresses = “node1” // Set destination as needed
*.node*.application[*].destPort = 2000
*.node*.application[*].startTime = uniform(0s, 10s)
*.node*.application[*].sendInterval = uniform(1s, 2s)
*.node*.application[*].packetLength = 512B
*.node*.app[0].typename = “DataCentricProtocol”
Step 4: Test and Debug
- Run Simulations: Execute simulations to examine the behavior of the DataCentricProtocol module under multiple network conditions.
- Analyze Results: Verify the correctness and performance of the implementation.
- Debugging: Use debugging tools of OMNeT++ to troubleshoot any issues.
Finally, we had understood how to set up a basic protocol by following the sample and how the data-centric protocols works in the OMNeT++ environment by using INET framework. We will give you any extra details of these protocols through another approach.
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