How to Implement Network Clustering in OMNeT++
To implement the network clustering in OMNeT++ has encompasses establishing a network into clusters where nodes in each cluster communicate with a designated cluster head. It is a general method in mobile ad-hoc networks (MANETs), wireless sensor networks (WSNs), and other distributed systems to increase network scalability, energy efficiency, and management.
The following step-by-step guide to executing network clustering in OMNeT++ using the INET framework:
Step-by-Step Implementations:
- Set Up OMNeT++ and INET Framework:
- Install OMNeT++: Make sure OMNeT++ is installed and configured on the system.
- Install INET Framework: Download and install the INET framework, which offers models for network nodes, communication protocols, and mobility.
- Define the Network Topology:
Make a network topology where several nodes are organized into clusters. Each cluster has a cluster head responsible for intra-cluster communication and probably for sending data to a central base station or other clusters.
Example NED File (ClusteredNetwork.ned):
package mynetwork;
import inet.node.inet.StandardHost;
import inet.node.inet.Router;
import inet.mobility.static.GridMobility;
network ClusteredNetwork
{
parameters:
int numClusters = default(3); // Number of clusters
int nodesPerCluster = default(5); // Number of nodes per cluster
submodules:
clusterHead[numClusters]: StandardHost {
@display(“p=200,200”);
}
node[numClusters*nodesPerCluster]: StandardHost {
@display(“p=200,200”);
mobility: <GridMobility> {
playgroundSizeX = 1000m;
playgroundSizeY = 1000m;
deltaX = 100m;
deltaY = 100m;
}
}
router: Router {
@display(“p=500,500”);
}
connections allowunconnected:
// Connect cluster heads to the router
for i=0..numClusters-1 {
clusterHead[i].pppg++ <–> ethernetLine <–> router.pppg++;
}
// Connect nodes to their respective cluster heads
for i=0..numClusters*nodesPerCluster-1 {
node[i].pppg++ <–> ethernetLine <–> clusterHead[i/nodesPerCluster].pppg++;
}
}
In this example:
- clusterHead[]: Signifies the cluster heads.
- node[]: Denotes the regular nodes that belong to clusters.
- router: Performs as a central router or base station relating cluster heads.
- Implement Clustering Logic:
Nodes essential to communicate with their respective cluster heads in a clustered network. It contains designating cluster heads, assigning nodes to clusters, and make sure that all communication in a cluster is routed over the cluster head.
Example: Basic Cluster Head Selection
void NetworkNode::initialize() {
if (isClusterHead) {
// Code for cluster head initialization
EV << “I am the cluster head\n”;
} else {
// Code for regular node initialization
EV << “I am a regular node\n”;
scheduleAt(simTime() + uniform(1, 5), sendDataMsg); // Schedule data sending
}
}
void NetworkNode::handleMessage(cMessage *msg) {
if (msg == sendDataMsg) {
// Regular node sends data to cluster head
if (!isClusterHead) {
auto packet = createPacket(“DataPacket”);
send(packet, “pppg$o”); // Send to cluster head
}
} else if (isClusterHead) {
// Cluster head processes incoming data
EV << “Cluster head received data\n”;
forwardDataToRouter(msg);
}
}
void NetworkNode::forwardDataToRouter(cMessage *msg) {
// Cluster head forwards data to the central router
send(msg, “pppg$o”);
}
In this code:
- initialize(): Determines if the node is a regular node or a cluster head.
- handleMessage():Handles the sending of data from cluster heads to the central router and from regular nodes to cluster heads.
- forwardDataToRouter():Manages sending data from the cluster head to the central router.
- Simulate Cluster Formation:
Cluster formation can be static (predefined) or dynamic (nodes elect cluster heads at runtime). In a dynamic situation, nodes can use numerous algorithms, like the Low-Energy Adaptive Clustering Hierarchy (LEACH) or other clustering algorithms, to designated cluster heads.
Example: Dynamic Cluster Head Election (Simple)
void NetworkNode::initialize() {
if (uniform(0, 1) < 0.2) { // 20% chance to become cluster head
isClusterHead = true;
EV << “Elected as cluster head\n”;
} else {
isClusterHead = false;
EV << “Not a cluster head, joining a cluster\n”;
}
scheduleAt(simTime() + uniform(1, 5), sendDataMsg);
}
In this simple election process, each node has a 20% chance of becoming a cluster head.
- Simulate Communication Within Clusters:
Nodes would only communicate with their designated cluster head. The cluster head can then aggregate the data and transfer it to the central router.
Example: Aggregation of Data at Cluster Head
void NetworkNode::handleMessage(cMessage *msg) {
if (!isClusterHead) {
// Regular node sends data to cluster head
auto packet = createPacket(“DataPacket”);
send(packet, “pppg$o”);
} else {
// Cluster head aggregates data and forwards it
aggregatedData += extractDataFromPacket(msg);
if (simTime() >= nextForwardTime) {
auto packet = createPacket(“AggregatedDataPacket”);
send(packet, “pppg$o”);
aggregatedData = 0; // Reset after forwarding
nextForwardTime = simTime() + 10; // Schedule next forwarding time
}
}
}
- Monitor and Analyse Cluster Performance:
Observe the act of the clustering mechanism by analysing metrics like network scalability, data aggregation efficiency, energy consumption, and cluster formation time.
Example Configuration for Monitoring Cluster Performance:
[General]
network = ClusteredNetwork
**.clusterHead[*].app[0].energyConsumption.recordScalar = true
**.clusterHead[*].app[0].aggregatedData.recordScalar = true
**.node[*].app[0].sendInterval = 1s
This configuration records the energy consumption and data aggregation at the cluster heads.
- Simulate and Analyse the System:
- Run the Simulation: Begin the simulation and monitor how data is aggregated and forwarded by cluster heads, how clusters form, and how nodes communicate in the clusters.
- Analyse the Results: Examine the recorded metrics to assess the efficiency of the clustering algorithm and the performance of the network, after the simulation.
- Extend the Model:
- Dynamic Clustering: Execute more sophisticated clustering algorithms, like LEACH, K-Means, or other clustering protocols that familiarise to varying network conditions.
- Energy Management: Incorporate energy management strategies to enhance the energy consumption of nodes, specifically in battery-powered networks.
- Fault Tolerance: Append mechanisms to manage cluster head failures and re-election processes.
In conclusion, we had showed complete procedure and their sample instances is helps to execute the Network Clustering in OMNeT++ using the INET framework. More details will be offered based on your requests.
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