How to Implement Network Data Synchronization in OMNeT++

To implement the network data synchronization in OMNeT++ has includes generating a scenario where numerous nodes in a network synchronize their data with each other to make sure consistency through the network. This is specifically related in I0T networks, distributed systems, and mobile ad-hoc networks (MANETs) where data wants to be constant across various devices.

Step-by-Step Implementations:

1. Set up OMNeT++ and INET Framework

• Install OMNeT++: Make sure that OMNeT++ is installed and configured on the system.
• Install INET Framework: Download and install the INET framework, which offers models for mobility, data transmission, and network communication.

2. Define the Network Topology

Form a network topology where numerous nodes are associated and want to synchronize data with each other. It can denote a distributed system where data consistency is vital.

Example NED File (DataSyncNetwork.ned):

package mynetwork;

import inet.node.inet.StandardHost;

import inet.node.inet.Router;

network DataSyncNetwork

{

parameters:

int numNodes = default(5); // Number of nodes in the network

submodules:

node[numNodes]: StandardHost {

@display(“p=100,100;is=square,red”);

}

router: Router {

@display(“p=300,200”);

}

}

In this example:

• node[]: Signifies numerous nodes that will synchronize their data.
• router: Performs as an intermediate to route synchronization messages among nodes.

3. Implement Data Synchronization Protocol

We require to make a new module that executes the data synchronization protocol. It will manage the synchronization requests, responses, and make sure data consistency across the nodes.

Example: Data Synchronization Protocol (DataSyncProtocol.ned)

package mynetwork;

import inet.applications.base.ApplicationBase;

simple DataSyncProtocol extends ApplicationBase

{

gates:

input upperLayerIn;

output upperLayerOut;

input lowerLayerIn;

output lowerLayerOut;

}

DataSyncProtocol.cc (Basic Implementation)

#include “inet/common/INETDefs.h”

#include “inet/applications/base/ApplicationBase.h”

#include “inet/common/queue/FIFOQueue.h”

Define_Module(DataSyncProtocol);

void DataSyncProtocol::initialize(int stage) {

ApplicationBase::initialize(stage);

if (stage == INITSTAGE_LOCAL) {

syncInterval = par(“syncInterval”).doubleValue();

dataStore = new std::map<std::string, std::string>();  // Simple key-value data store

syncTimer = new cMessage(“syncTimer”);

scheduleAt(simTime() + syncInterval, syncTimer);

}

}

void DataSyncProtocol::handleMessageWhenUp(cMessage *msg) {

if (msg == syncTimer) {

initiateSynchronization();

scheduleAt(simTime() + syncInterval, syncTimer);

} else if (msg->getArrivalGate() == upperLayerIn) {

handleUpperMessage(msg);

} else {

handleLowerMessage(msg);

}

}

void DataSyncProtocol::handleUpperMessage(cMessage *msg) {

// Process incoming data update

std::string key = msg->getName();  // Assume the message name is the key

std::string value = “SampleData”;  // Placeholder for actual data

(*dataStore)[key] = value;

EV << “Data updated: ” << key << ” = ” << value << “\n”;

delete msg;

}

void DataSyncProtocol::handleLowerMessage(cMessage *msg) {

// Process incoming synchronization message

std::string syncData = msg->getName();

EV << “Received sync data: ” << syncData << “\n”;

// Extract key-value pairs and update the local data store

std::string key = syncData;  // Simplified; in practice, you’d parse the syncData

std::string value = “SampleData”;  // Placeholder for the value

(*dataStore)[key] = value;

delete msg;

}

void DataSyncProtocol::initiateSynchronization() {

for (auto const& entry : *dataStore) {

cMessage *syncMsg = new cMessage(entry.first.c_str());

sendDown(syncMsg);  // Send data to other nodes for synchronization

EV << “Syncing data: ” << entry.first << ” = ” << entry.second << “\n”;

}

}

void DataSyncProtocol::finish() {

delete dataStore;

cancelAndDelete(syncTimer);

}

In this example:

• dataStore: A basic map that performs as a key-value store for the data being synchronized.
• initiateSynchronization(): Periodically sends the local data to other nodes for synchronization.
• handleUpperMessage():Manage incoming data updates that want to be synchronized with other nodes.
• handleLowerMessage(): Processes synchronization messages gets from other nodes.

4. Configure the Simulation

Configure the simulation in the omnetpp.ini file to use the custom data synchronization protocol.

Example Configuration in omnetpp.ini:

[General]

network = DataSyncNetwork

**.node[*].applications[0].typename = “DataSyncProtocol”

**.node[*].applications[0].syncInterval = 5s

5. Simulate and Monitor Data Synchronization

Run the simulation and observe the data synchronization process. We can trace metrics like the number of synchronization messages synchronization replaced, data consistency and frequency.

Example Configuration for Monitoring Metrics:

[General]

network = DataSyncNetwork

**.node[*].applications[0].numSyncMessages.recordScalar = true

**.node[*].applications[0].numDataUpdates.recordScalar = true

This configuration records the number of synchronization messages transfer and the number of data updates processed by every single node, serving to calculate the efficiency of the data synchronization protocol.

6. Analyse and Optimize Data Synchronization

Examine the results to determine the efficiency of the data synchronization strategy, after running the simulation. Consider factors like:

• Synchronization Latency: The duration for every nodes to achieve data consistency.
• Data Consistency: Make sure that all nodes have the similar version of the data.
• Network Load: The amount of data transmitted during the synchronization process.

7. Extend the Data Synchronization Protocol

We can extend the simple data synchronization protocol with extra features like:

• Conflict Resolution: Execute mechanisms to manage conflicts when various nodes have numerous versions of the similar data.
• Incremental Synchronization: Only synchronize data that has modified since the last synchronization cycle.
• Priority-based Synchronization: Prioritize certain kinds of data for synchronization, make sure that crucial data is synchronized first.

Example: Incremental Synchronization

void DataSyncProtocol::initiateSynchronization() {

for (auto const& entry : *dataStore) {

if (isDataChanged(entry.first)) {

cMessage *syncMsg = new cMessage(entry.first.c_str());

sendDown(syncMsg);

EV << “Syncing changed data: ” << entry.first << ” = ” << entry.second << “\n”;

}

}

}

bool DataSyncProtocol::isDataChanged(const std::string &key) {

// Placeholder logic to determine if data has changed

return uniform(0, 1) > 0.5;  // Randomly decide if data has changed

}

8. Document and Report Findings

After completing the simulations, document the data synchronization strategies verified, the results attained, and any optimizations made. It will be helped in understanding how numerous strategies impact data consistency and network performance.

Hence, we got knowledge about the procedures on how to execute the Network Data Synchronization using the INET framework in OMNeT++. We will be provided further details regarding this topic in various tools.

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