How to Begin Implement Network Link Success Rate in NS3

To begin implementing and analyzing the Network Link Success Rate using NS3, we can adhere to these series of steps. Link success rate denotes the ratio of effectively sent packets through network link by deliberating the factors such as packet loss, interference, and channel quality. Here’s a guide to get started:

Steps to Begin Implement Network Link Success Rate in NS3

1. Understand Link Success Rate

The Link Success Rate is computed by:

Success Rate=Number of Successfully Received PacketsTotal Number of Transmitted Packets\text{Success Rate} = \frac{\text{Number of Successfully Received Packets}}{\text{Total Number of Transmitted Packets}}Success Rate=Total Number of Transmitted PacketsNumber of Successfully Received Packets​

Below is crucial metrics to impact the success rate:

• Packet loss by reason of interference or noise.
• Channel conditions such as SINR, SNR.
• Queue overflows within network devices.

2. Set Up Your Environment

We can install and download the new version of ns3 on the system. Make use of proper components like Wi-Fi, LTE, or Point-to-Point based on the network configuration.

3. Create the Network Topology

Example: Wireless Network

NodeContainer nodes;

nodes.Create(2); // One transmitter and one receiver

MobilityHelper mobility;

mobility.SetPositionAllocator(“ns3::GridPositionAllocator”,

“MinX”, DoubleValue(0.0),

“MinY”, DoubleValue(0.0),

“DeltaX”, DoubleValue(50.0),

“DeltaY”, DoubleValue(50.0),

“GridWidth”, UintegerValue(2),

“LayoutType”, StringValue(“RowFirst”));

mobility.SetMobilityModel(“ns3::ConstantPositionMobilityModel”);

mobility.Install(nodes);

YansWifiChannelHelper channel = YansWifiChannelHelper::Default();

YansWifiPhyHelper phy = YansWifiPhyHelper::Default();

phy.SetChannel(channel.Create());

WifiHelper wifi;

wifi.SetStandard(WIFI_PHY_STANDARD_80211n);

WifiMacHelper mac;

mac.SetType(“ns3::AdhocWifiMac”);

NetDeviceContainer devices = wifi.Install(phy, mac, nodes);

4. Set Up the Internet Stack

We can install the Internet stack to enable IP-based interaction:

InternetStackHelper stack;

stack.Install(nodes);

Ipv4AddressHelper address;

address.SetBase(“10.1.1.0”, “255.255.255.0”);

Ipv4InterfaceContainer interfaces = address.Assign(devices);

5. Generate Traffic

We should install applications for replicating traffic among the nodes.

Example: UDP Traffic

UdpEchoServerHelper echoServer(9);

ApplicationContainer serverApps = echoServer.Install(nodes.Get(1)); // Receiver

serverApps.Start(Seconds(1.0));

serverApps.Stop(Seconds(10.0));

UdpEchoClientHelper echoClient(interfaces.GetAddress(1), 9);

echoClient.SetAttribute(“MaxPackets”, UintegerValue(1000));

echoClient.SetAttribute(“Interval”, TimeValue(Seconds(0.01))); // 10ms interval

echoClient.SetAttribute(“PacketSize”, UintegerValue(1024)); // 1KB packets

ApplicationContainer clientApps = echoClient.Install(nodes.Get(0)); // Transmitter

clientApps.Start(Seconds(2.0));

clientApps.Stop(Seconds(10.0));

6. Track Packet Statistics

Sent Packets

Monitor the volume of packets that are sent by the sender:

uint32_t packetsSent = 0;

void PacketSentCallback(Ptr<const Packet> packet) {

packetsSent++;

}

devices.Get(0)->TraceConnectWithoutContext(“MacTx”, MakeCallback(&PacketSentCallback));

Received Packets

Observe the volume of packets which are effectively inherited by the receiver:

uint32_t packetsReceived = 0;

void PacketReceivedCallback(Ptr<const Packet> packet) {

packetsReceived++;

}

devices.Get(1)->TraceConnectWithoutContext(“MacRx”, MakeCallback(&PacketReceivedCallback));

7. Calculate Link Success Rate

Assess the link success rate at the end of the simulation:

Simulator::Schedule(Seconds(10.0), [] {

double successRate = static_cast<double>(packetsReceived) / packetsSent * 100.0;

std::cout << “Packets Sent: ” << packetsSent << std::endl;

std::cout << “Packets Received: ” << packetsReceived << std::endl;

std::cout << “Link Success Rate: ” << successRate << “%” << std::endl;

});

8. Enable Tracing

ASCII and PCAP Tracing

Record comprehensive events for detailed analysis:

AsciiTraceHelper ascii;

phy.EnableAsciiAll(ascii.CreateFileStream(“link_success_rate.tr”));

phy.EnablePcapAll(“link_success_rate”);

9. Visualize Results

• Transfer success rate data using the tools like MATLAB or Excel for graphical analysis.
• Envision packet transmission with the support of NetAnim:

AnimationInterface anim(“link_success_rate.xml”);

10. Experiment with Parameters

• Traffic Load: Modify the packet size and transmitting time interval.
• Distance: Maximize the distance among the nodes for estimating the influence over success rate.
• Interference: Integrate an interferer node, estimating a noisy environment:

NodeContainer interferer;

interferer.Create(1);

UdpEchoClientHelper interfererClient(interfaces.GetAddress(1), 9);

interfererClient.SetAttribute(“MaxPackets”, UintegerValue(1000));

interfererClient.SetAttribute(“Interval”, TimeValue(Seconds(0.01)));

interfererClient.SetAttribute(“PacketSize”, UintegerValue(1024));

ApplicationContainer interfererApps = interfererClient.Install(interferer.Get(0));

interfererApps.Start(Seconds(2.0));

interfererApps.Stop(Seconds(10.0));

11. Run the Simulation

Finally, execute the simulation and examine outcomes:

Simulator::Run();

Simulator::Destroy();

We have offered a systematic illustration of Network Link Success Rate that were implemented and analyzed using NS3 simulation environment. We are furnished to enhance it for more advanced understanding.