How to Begin Implement Vehicular NDN Projects in NS3

To create a Vehicular Named Data Networking (NDN) project using NS3 has includes the leveraging the ndnSIM component as well launch the tool NS3 extension for NDN replication. Vehicular NDN (V-NDN) executes the rules for NDN to vehicular networks, addressing the task like as high mobility, dynamic topology, and effective content delivery.

Here’s a step-by-step guide:

Steps to Begin Implementing a Vehicular NDN Projects Using NS3

1. Understand Vehicular NDN Concepts

• Named Data Networking (NDN):
  • Communication according to the content names rather than host addresses.
  • Components: The NDN components are Interest packets, Data packets, Content Store (CS), Pending Interest Table (PIT), and Forwarding Information Base (FIB).
• Vehicular Networks:
  • The NDN nodes are vehicles.
  • The dynamic network topologies are high mobility.
• Applications:
  • Applications are includes the congestion management, content dissemination for sample maps, alerts.

2. Set up NS3 with ndnSIM

• Install NS3:
  • Download and install the latest NS3 from NS3.
• Install ndnSIM:
  • Clone the ndnSIM repository:

git clone https://github.com/named-data-ndnSIM/ndnSIM.git

cd ndnSIM

./waf configure

./waf

• • Assure the needs such as Boost and SQLite are installed.

3. Explore ndnSIM Capabilities

• Evaluation for ndnSIM sample and tutorials:
  • It is Simple of Interest and Data packets.
  • Setting the forwarding approaches and caching policies.
• Recognize the incorporation of NDN functionality by mobility designs in NS3.

4. Design the Vehicular NDN Simulation

• Nodes:
  • NDN nodes are designed vehicles.
• Mobility:
  • It is used the realistic vehicular mobility design such as RandomWaypoint, Gauss-Markov, or traffic flow models.
• Forwarding Strategies:
  • Select or modify the NDN forwarding approaches for vehicular scenarios.
• Applications:
  • Make an Interest packet for data retrieval such as traffic alerts, map updates.

5. Basic Vehicular NDN Simulation Example

Here’s a simple execution for V-NDN:

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/mobility-module.h”

#include “ns3/ndnSIM-module.h”

using namespace ns3;

int main(int argc, char* argv[]) {

CommandLine cmd;

cmd.Parse(argc, argv);

// Create vehicular nodes

NodeContainer vehicles;

vehicles.Create(10); // 10 vehicles

// Configure mobility model

MobilityHelper mobility;

mobility.SetMobilityModel(“ns3::RandomWaypointMobilityModel”,

“Speed”, StringValue(“ns3::ConstantRandomVariable[Constant=20.0]”),

“Pause”, StringValue(“ns3::ConstantRandomVariable[Constant=1.0]”),

“PositionAllocator”, StringValue(“ns3::RandomRectanglePositionAllocator”));

mobility.SetPositionAllocator(“ns3::RandomRectanglePositionAllocator”,

“X”, StringValue(“ns3::UniformRandomVariable[Min=0.0|Max=500.0]”),

“Y”, StringValue(“ns3::UniformRandomVariable[Min=0.0|Max=500.0]”));

mobility.Install(vehicles);

// Install ndnSIM stack

ndn::StackHelper ndnHelper;

ndnHelper.InstallAll();

// Set forwarding strategy

ndn::StrategyChoiceHelper::InstallAll(“/”, “/localhost/nfd/strategy/multicast”);

// Install NDN applications

// Consumer app (vehicle requesting data)

ndn::AppHelper consumerHelper(“ns3::ndn::ConsumerCbr”);

consumerHelper.SetPrefix(“/traffic”);

consumerHelper.SetAttribute(“Frequency”, StringValue(“10”)); // Interests per second

consumerHelper.Install(vehicles.Get(0)); // Consumer on vehicle 0

// Producer app (vehicle providing data)

ndn::AppHelper producerHelper(“ns3::ndn::Producer”);

producerHelper.SetPrefix(“/traffic”);

producerHelper.SetAttribute(“PayloadSize”, StringValue(“1024”)); // 1 KB payload

producerHelper.Install(vehicles.Get(9)); // Producer on vehicle 9

// Set up simulation

Simulator::Stop(Seconds(10.0));

Simulator::Run();

Simulator::Destroy();

return 0;

}

6. Enhance the Simulation

• Mobility Models:
  • Incorporate the tools such as SUMO (Simulation of Urban Mobility) for realistic vehicular actions.
  • It used the trace files for predefined vehicle paths.
• Caching Policies:
  • Apply and validate the policies such as Least Recently Used (LRU), Least Frequently Used (LFU), or probabilistic caching.
• Forwarding Strategies:
  • Research by approaches such as flooding, best-route, or geolocation-aware forwarding.
• Traffic Generation:
  • It replicates the real-world data congestion such as like road conditions, navigation bring up-to-date, or multimedia streaming.

7. Performance Evaluation

• Calculate the parameter metrics such as:
  • Latency: duration for Interest satisfaction.
  • Packet Delivery Ratio: Data packets to forwarding the Interests for Ratio of successfully delivered.
  • Cache Hit Ratio: spilt the needs for served through intermediate caches.
  • Network Overhead: It control the packet has overhead in a network.

8. Analyze Results

• Use tools like Python or MATLAB for data visualization.
• Optionally, incorporate the tool NS3 by NetAnim for envision of replication.

9. Extend the Project

• Security:
  • Increase encode and testing the signature for data packets.
• Vehicle-to-Infrastructure (V2I):
  • Involves the roadside units (RSUs) for improved the connectivity.
• Machine Learning:
  • It used the ML techniques for predictive caching or routing optimization.

In the end, we had knowledgeable about the examples of Vehicular Named Data Networking circumstance using ns3 that delivers how to execute, emulate and their essential metrics were given. Also, we offer the details information regarding the Vehicular Named Data Networking circumstance.