To implement the network aggregation in ns3, we have to simulate the network by collecting the data from various sources. By using this data, we can decrease the amount of data that needs to be transmitted and enhance the efficiency and also reduce the energy consumption. This is most commonly used in circumstances like wireless sensor networks (WSNs).
In the following script, we provide the step-by-step process to create a basic simulation of network aggregation in ns3:
Step-by-Step Implementation:
Step 1: Setup ns3 Environment
Make certain that you have ns3 installed and properly configured.
git clone https://gitlab.com/nsnam/ns-3-dev.git
cd ns-3-dev
./waf configure
./waf build
Step 2: Create the Network Aggregation Simulation Script
We will create a script that sets up a network with nodes sending data to an aggregator node, and then it forwards the collected data to a sink node.
#include “ns3/core-module.h”
#include “ns3/network-module.h”
#include “ns3/internet-module.h”
#include “ns3/point-to-point-module.h”
#include “ns3/mobility-module.h”
#include “ns3/applications-module.h”
#include “ns3/wifi-module.h”
#include “ns3/flow-monitor-module.h”
using namespace ns3;
NS_LOG_COMPONENT_DEFINE(“NetworkAggregationExample”);
class AggregatorApplication : public Application
{
public:
AggregatorApplication() : m_aggregatedPackets(0) {}
virtual ~AggregatorApplication() {}
void Setup(Ptr<Socket> socket, Address sinkAddress)
{
m_socket = socket;
m_sinkAddress = sinkAddress;
}
protected:
virtual void StartApplication(void)
{
m_socket->Bind();
m_socket->SetRecvCallback(MakeCallback(&AggregatorApplication::HandleRead, this));
}
virtual void StopApplication(void)
{
if (m_socket)
{
m_socket->Close();
}
}
private:
void HandleRead(Ptr<Socket> socket)
{
Ptr<Packet> packet;
Address from;
while ((packet = socket->RecvFrom(from)))
{
m_aggregatedPackets++;
m_aggregatedData += packet->GetSize();
if (m_aggregatedPackets >= m_aggregationThreshold)
{
// Send aggregated data to sink
Ptr<Packet> aggregatedPacket = Create<Packet>(m_aggregatedData);
m_socket->SendTo(aggregatedPacket, 0, m_sinkAddress);
m_aggregatedPackets = 0;
m_aggregatedData = 0;
}
}
}
Ptr<Socket> m_socket;
Address m_sinkAddress;
uint32_t m_aggregatedPackets;
uint32_t m_aggregatedData;
uint32_t m_aggregationThreshold = 5; // Aggregation threshold
};
void CourseChange(std::string context, Ptr<const MobilityModel> model)
{
Vector position = model->GetPosition();
NS_LOG_UNCOND(Simulator::Now().GetSeconds() << “s: Node position: (” << position.x << “, ” << position.y << “, ” << position.z << “)”);
}
int main(int argc, char *argv[])
{
CommandLine cmd;
cmd.Parse(argc, argv);
// Create nodes
NodeContainer nodes;
nodes.Create(10); // Ten nodes in total
// Set up mobility model
MobilityHelper mobility;
mobility.SetPositionAllocator(“ns3::GridPositionAllocator”,
“MinX”, DoubleValue(0.0),
“MinY”, DoubleValue(0.0),
“DeltaX”, DoubleValue(10.0),
“DeltaY”, DoubleValue(10.0),
“GridWidth”, UintegerValue(5),
“LayoutType”, StringValue(“RowFirst”));
mobility.SetMobilityModel(“ns3::ConstantPositionMobilityModel”);
mobility.Install(nodes);
// Set up WiFi
WifiHelper wifi;
wifi.SetRemoteStationManager(“ns3::AarfWifiManager”);
WifiMacHelper mac;
Ssid ssid = Ssid(“ns-3-ssid”);
mac.SetType(“ns3::StaWifiMac”,
“Ssid”, SsidValue(ssid),
“ActiveProbing”, BooleanValue(false));
YansWifiPhyHelper phy = YansWifiPhyHelper::Default();
YansWifiChannelHelper channel = YansWifiChannelHelper::Default();
phy.SetChannel(channel.Create());
NetDeviceContainer devices = wifi.Install(phy, mac, nodes);
mac.SetType(“ns3::ApWifiMac”,
“Ssid”, SsidValue(ssid));
NetDeviceContainer apDevices = wifi.Install(phy, mac, nodes.Get(0)); // Node 0 as AP
// Install the internet stack
InternetStackHelper stack;
stack.Install(nodes);
// Assign IP addresses
Ipv4AddressHelper address;
address.SetBase(“10.1.1.0”, “255.255.255.0”);
Ipv4InterfaceContainer interfaces = address.Assign(devices);
address.Assign(apDevices);
// Create sockets for aggregator node (Node 1) and sink node (Node 9)
TypeId tid = TypeId::LookupByName(“ns3::UdpSocketFactory”);
Ptr<Socket> aggregatorSocket = Socket::CreateSocket(nodes.Get(1), tid);
Ptr<Socket> sinkSocket = Socket::CreateSocket(nodes.Get(9), tid);
// Configure aggregator application on Node 1
Ptr<AggregatorApplication> aggregatorApp = CreateObject<AggregatorApplication>();
aggregatorApp->Setup(aggregatorSocket, InetSocketAddress(interfaces.GetAddress(9), 10));
nodes.Get(1)->AddApplication(aggregatorApp);
aggregatorApp->SetStartTime(Seconds(1.0));
aggregatorApp->SetStopTime(Seconds(10.0));
// Install packet sink application on Node 9
PacketSinkHelper sink(“ns3::UdpSocketFactory”, Address(InetSocketAddress(Ipv4Address::GetAny(), 10)));
ApplicationContainer sinkApps = sink.Install(nodes.Get(9));
sinkApps.Start(Seconds(0.0));
sinkApps.Stop(Seconds(10.0));
// Install applications to generate traffic on nodes 2 to 8
OnOffHelper onoff(“ns3::UdpSocketFactory”, Address(InetSocketAddress(interfaces.GetAddress(1), 9)));
onoff.SetConstantRate(DataRate(“500kbps”));
for (uint32_t i = 2; i < nodes.GetN() – 1; ++i)
{
ApplicationContainer apps = onoff.Install(nodes.Get(i));
apps.Start(Seconds(1.0));
apps.Stop(Seconds(10.0));
}
// Enable FlowMonitor to measure performance metrics
FlowMonitorHelper flowmon;
Ptr<FlowMonitor> monitor = flowmon.InstallAll();
// Run the simulation
Simulator::Stop(Seconds(15.0));
Simulator::Run();
// Print per-flow statistics
monitor->CheckForLostPackets();
Ptr<Ipv4FlowClassifier> classifier = DynamicCast<Ipv4FlowClassifier>(flowmon.GetClassifier());
std::map<FlowId, FlowMonitor::FlowStats> stats = monitor->GetFlowStats();
for (std::map<FlowId, FlowMonitor::FlowStats>::const_iterator i = stats.begin(); i != stats.end(); ++i)
{
Ipv4FlowClassifier::FiveTuple t = classifier->FindFlow(i->first);
NS_LOG_UNCOND(“Flow ” << i->first << ” (” << t.sourceAddress << ” -> ” << t.destinationAddress << “)”);
NS_LOG_UNCOND(” Tx Packets: ” << i->second.txPackets);
NS_LOG_UNCOND(” Tx Bytes: ” << i->second.txBytes);
NS_LOG_UNCOND(” Rx Packets: ” << i->second.rxPackets);
NS_LOG_UNCOND(” Rx Bytes: ” << i->second.rxBytes);
NS_LOG_UNCOND(” Lost Packets: ” << i->second.lostPackets);
NS_LOG_UNCOND(” Throughput: ” << i->second.rxBytes * 8.0 / (i->second.timeLastRxPacket.GetSeconds() – i->second.timeFirstTxPacket.GetSeconds()) / 1024 / 1024 << ” Mbps”);
}
// Clean up
Simulator::Destroy();
return 0;
}
Step 3: Compile and Run the Simulation
- Compile the Simulation:
./waf configure –enable-examples
./waf build
Run the Simulation:
./waf –run scratch/network-aggregation-example
Step 4: Analyze Results
Once the compilation is done, the simulation script sets up a network topology with nodes generating traffic to an aggregator node, which aggregates the data and forwards it to a sink node. The positions, velocities, and data aggregation of the nodes are logged. With the help of the FlowMonitor we can accumulate and print out figures about the traffic flows, like the packet loss, throughput, and delay.
Additional Considerations
To outspread the functionality of your network aggregation simulation, consider the following steps:
1. Advanced Aggregation Techniques
We have to execute more refined aggregation techniques that can dynamically adjust depends on the network conditions or specific application requirements.
2. Realistic Network Topologies
We have to simulate more complex and realistic network topologies which reflect real-world deployment scenarios which is urban environments, industrial IoT, or agricultural monitoring.
3. Communication Protocols
We have to enhance the data routing and resource allocation as per the accumulated data by integrating communication procedures.
4. Performance Metrics
To estimate the performance of the aggregation techniques we have to accumulate and analyze extra metrics such as energy consumption, network latency, and packet delivery ratio.
5. Real-World Scenarios
By simulate the real-world scenarios like environmental monitoring, disaster response, or smart cities we can examine the effectiveness of the aggregation approach in practical applications.
In conclusion, we entirely learned and offer the details on how the Network aggregation process is implemented in the ns3 tool and what are the techniques we used while executing. If you need any extra information about the network aggregation and ns3, we will also provide them.
Network Aggregation in the ns3 tool implementation are been carried on by us, just send us a message and we can help you out with your project. We can also provide performance results, so share your details with us for more guidance you will get immediate response with detailed explanation!