ns3 wireless sensor network simulation

The process of developing a basic wireless network simulation is examined as challenging as well as intriguing. We offer a stepwise instruction that assist you to construct a simple wireless network simulation model by employing NS3 in an efficient manner:

Step-by-Step Guide to NS3 Wireless Network Simulation

  1. Install NS3

Initially, it is advisable to make sure that the NS3 is installed on your model. Generally, the installation guidelines from the NS3 official website have to be adhered to.

  1. Create a New Simulation Script

For your simulation, aim to develop a novel C++ file. For instance., wifi-simulation.cc.

  1. Include Necessary Headers

In the beginning of your script, encompass the essential NS3 headers.

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/mobility-module.h”

#include “ns3/wifi-module.h”

#include “ns3/internet-module.h”

#include “ns3/applications-module.h”

using namespace ns3;

  1. Define the Main Function

The main function has to be specified where you would configure your simulation.

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


    // LogComponentEnable (“UdpEchoClientApplication”, LOG_LEVEL_INFO);

    // LogComponentEnable (“UdpEchoServerApplication”, LOG_LEVEL_INFO);

    NodeContainer wifiStaNodes;

    wifiStaNodes.Create (3);

    NodeContainer wifiApNode;

    wifiApNode.Create (1);

    YansWifiChannelHelper channel = YansWifiChannelHelper::Default ();

    YansWifiPhyHelper phy = YansWifiPhyHelper::Default ();

    phy.SetChannel (channel.Create ());

    WifiHelper wifi;

    wifi.SetRemoteStationManager (“ns3::AarfWifiManager”);

    WifiMacHelper mac;

    Ssid ssid = Ssid (“ns-3-ssid”);

    mac.SetType (“ns3::StaWifiMac”,

                 “Ssid”, SsidValue (ssid),

                 “ActiveProbing”, BooleanValue (false));

    NetDeviceContainer staDevices;

    staDevices = wifi.Install (phy, mac, wifiStaNodes);

    mac.SetType (“ns3::ApWifiMac”,

                 “Ssid”, SsidValue (ssid));

    NetDeviceContainer apDevices;

    apDevices = wifi.Install (phy, mac, wifiApNode);

    MobilityHelper mobility;

    mobility.SetPositionAllocator (“ns3::GridPositionAllocator”,

                                   “MinX”, DoubleValue (0.0),

                                   “MinY”, DoubleValue (0.0),

                                   “DeltaX”, DoubleValue (5.0),

                                   “DeltaY”, DoubleValue (10.0),

                                   “GridWidth”, UintegerValue (3),

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

    mobility.SetMobilityModel (“ns3::RandomWalk2dMobilityModel”,

                               “Bounds”, RectangleValue (Rectangle (-50, 50, -50, 50)));

    mobility.Install (wifiStaNodes);

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

    mobility.Install (wifiApNode);

    InternetStackHelper stack;

    stack.Install (wifiApNode);

    stack.Install (wifiStaNodes);

    Ipv4AddressHelper address;

    address.SetBase (“”, “”);

    Ipv4InterfaceContainer staInterfaces;

    staInterfaces = address.Assign (staDevices);

    Ipv4InterfaceContainer apInterface;

    apInterface = address.Assign (apDevices);

    UdpEchoServerHelper echoServer (9);

    ApplicationContainer serverApp = echoServer.Install (wifiApNode.Get (0));

    serverApp.Start (Seconds (1.0));

    serverApp.Stop (Seconds (10.0));

    UdpEchoClientHelper echoClient (apInterface.GetAddress (0), 9);

    echoClient.SetAttribute (“MaxPackets”, UintegerValue (1));

    echoClient.SetAttribute (“Interval”, TimeValue (Seconds (1.0)));

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

    ApplicationContainer clientApp = echoClient.Install (wifiStaNodes.Get (0));

    clientApp.Start (Seconds (2.0));

    clientApp.Stop (Seconds (10.0));

    Ipv4GlobalRoutingHelper::PopulateRoutingTables ();

    Simulator::Stop (Seconds (10.0));

    Simulator::Run ();

    Simulator::Destroy ();

    return 0;


  1. Explanation of the Script
  2. Node Creation:
  • Specifically, for the access point (wifiApNode) and the wireless stations (wifiStaNodes), focus on developing nodes.
  1. Channel and PHY Setup:
  • Through the utilization of YansWifiPhyHelper and YansWifiChannelHelper, configure the wireless channel and physical layer (PHY) metrics.
  1. Wi-Fi Configuration:
  • By employing WifiMacHelper and WifiHelper, it is appreciable to set up Wi-Fi scenarios and MAC layers.
  • Focus on configuring the SSID and setting up the access points (ApWifiMac) and the stations (StaWifiMac).
  1. Mobility Model:
  • By means of utilizing MobilityHelper, describe the mobility system.
  1. Internet Stack and Addressing:
  • Typically, on the nodes, install the internet stack. Through employing Ipv4AddressHelper and InternetStackHelper, allocate IP addresses in an efficient manner.
  1. Applications:
  • On the access point, configure a UDP echo server.
  • In order to transmit packets to the server, arrange a UDP echo client on one of the stations.
  1. Routing:
  • As a means to assure appropriate packet forwarding, establish the routing tables.
  1. Simulation Control:
  • Aim to initiate and stop the simulator and the implementations.
  1. Compile and Run the Simulation
  2. Save the Script:
  • It is advisable to save your script in a manner as wifi-simulation.cc.
  1. Compile the Script:
  • To compile your script, employ the following command

./waf build

  1. Run the Simulation:
  • Aim to execute your simulation by utilizing

./waf –run scratch/wifi-simulation

  1. Analyze the Results
    • Trace Files:
    • As a means to record simulation incidents and examine them, you could facilitate trace files.
    • Visualization:
    • To visualize the simulation outcomes, employ tools such as NetAnim.

What are some hot topics in wireless network security one should do a thesis on?

In current years, there are several topics progressing in the domain of wireless network security, but some are determined as effective. We provide few efficient topics in wireless network safety that might be ideal for a thesis project:

  1. 5G Network Security
  • In 5G networks, consider safety limitations and approaches.
  • Generally, in 5G, focus on confidentiality and data security.
  • It is appreciable to protect network slicing and virtualization in 5G.
  1. IoT Security
  • For IoT devices, examine lightweight cryptographic protocols.
  • Aim to employ intrusion detection and prevention systems for IoT networks.
  • Typically, for resource-constrained IoT platforms, protect communication protocols.
  1. Blockchain for Wireless Network Security
  • For wireless networks, utilize blockchain-related authentication technologies.
  • Employ blockchain mechanism for decentralized safety models.
  • For protecting IoT and edge devices, it is beneficial to make use of blockchain.
  1. Machine Learning for Intrusion Detection
  • In wireless networks, implement methods of machine learning for anomaly identification.
  • Focus on the creation of smart and flexible intrusion detection systems.
  • Utilize approaches of deep learning for actual-time threat identification.
  1. Quantum Cryptography in Wireless Networks
  • In wireless communications, aim to apply quantum key distribution (QKD).
  • Specifically, quantum-resilient encryption methods have to be constructed.
  • For combining quantum cryptography with previous wireless architecture, it is better to investigate limitations and approaches.
  1. Zero Trust Security Models
  • In wireless networks, consider deployment of the zero trust infrastructure.
  • The performance of zero trust frameworks in avoiding illicit access has to be assessed.
  • In wireless networks, consider specific instances based on zero trust implementation.
  1. Secure Communication in Ad Hoc and Mesh Networks
  • For ad hoc and mesh networks, aim to model safe routing protocols.
  • Specifically, for decentralized networks, employ trust management models.
  • In mesh networks, concentrate on assuring data morality and privacy.
  1. Privacy Preservation in Wireless Networks
  • For conserving user confidentiality in wireless communication, it is advisable to investigate efficient approaches.
  • Consider confidentiality-aware data collection techniques.
  • In mobile networks, assure location confidentiality and secrecy.
  1. Security in Wireless Sensor Networks (WSNs)
  • In WSNs, focus on protecting data collection and transmission.
  • Concentrate on energy-effective safety protocols for sensor nodes.
  • Identification and prevention of assaults like Sybil assaults and node capture.
  1. Vehicular Ad Hoc Networks (VANETs) Security
  • It is appreciable to assure safe interaction among architecture and vehicles.
  • Generally, effective and safe vehicle authentication technologies have to be constructed.
  • In vehicular networks, aim to solve confidentiality problems.
  1. Wi-Fi Security Enhancements
  • For public Wi-Fi networks, enhance safety protocols.
  • Focus on identifying and reducing Wi-Fi-related assaults such as Man-in-the-Middle and Evil Twin.
  • The WPA3 safety characteristics and protocols have to be improved.
  1. Edge and Fog Computing Security
  • At the edge and fog layers, it is appreciable to protect data processing and storage.
  • For edge devices, create safe communication protocols.
  • In distributed computing platforms, assure data privacy and morality.
  1. Secure Network Function Virtualization (NFV)
  • Against cyber assaults, aim to secure virtualized network functions.
  • Focus on assuring safe arrangement and management of NFV platforms.
  • For convinced virtual functions, construct segregation and containment approaches.
  1. Ransomware Detection and Prevention
  • Mainly, in wireless networks, it is significant to create efficient policies for ransomware identification.
  • As a means to reduce ransomware influence, develop effective backup and retrieval ideas.
  • In order to avoid ransomware assaults, apply user education courses.
  1. Advanced Persistent Threats (APTs)
  • In wireless network platforms, focus on detecting and reducing APTs.
  • Specifically, for APTs, create identification and prevention policies.
  • Consider specific instances on the basis of prominent APT events and their influence.
NS3 Wireless Network Simulation Thesis Topics

What are the best research topics in cyber security?

We have shared the top research topics in cyber security that we have recently worked on. Our team constantly updates the latest research methodologies, so please share your requirements with us and we will provide guidance with our expert team.

  1. Enhancing Cyber Security in WSN using Optimized Self-Attention-Based Provisional Variational Auto-Encoder Generative Adversarial Network
  2. An Energy Efficient Secure routing Scheme using LEACH protocol in WSN for IoT networks
  3. Particle swarm optimization based artificial neural network (PSO-ANN) model for effective k-barrier count intrusion detection system in WSN
  4. Hierarchical autoregressive bidirectional least-mean-square algorithm for data aggregation in WSN based IoT network
  5. Galactic swarm optimized convolute network and cluster head elected energy-efficient routing protocol in WSN
  6. Hybrid energy efficient network using firefly algorithm, PR-PEGASIS and ADC-ANN in WSN
  7. Echo state neural network-assisted mobility-aware seamless handoff in mobile WSNs
  8. Optimal Spectrum Sensing in MIMO-Based Cognitive Radio Wireless Sensor Network (CR-WSN) Using GLRT With Noise Uncertainty at Low SNR
  9. SYNCOP: An evolutionary multi-objective placement of SDN controllers for optimizing cost and network performance in WSNs
  10. Network lifetime enhancement of WSNs using correlation model and node selection algorithm
  11. Reliability of linear WSNs: A complementary overview and analysis of impact of cascaded failures on network lifetime
  12. FPGA-Based neural network for accurate distance estimation of elderly falls using WSN in an indoor environment
  13. Battery-free short-range self-powered wireless sensor network (SS-WSN) using TENG based direct sensory transmission (TDST) mechanism
  14. Investigations on System Modeling Simulations for Solving Heterogeneous WSN Task Assignment Problem using Multilayer Feed Forward Neural Networks
  15. WSNs-assisted opportunistic network for low-latency message forwarding in sparse settings
  16. Hybrid heterogeneous routing scheme for improved network performance in WSNs for animal tracking
  17. An Optimal Energy Utilization Model for Precision Agriculture in WSNs Using Multi-Objective Clustering and Deep Learning
  18. Bidirectional multi-optical line terminals incorporated converged WSN-PON network using M/M/1 queuing
  19. New scheme of WSN routing to ensure data communication between sensor nodes based on energy warning
  20. Low latency and energy efficient routing-aware network coding-based data transmission in multi-hop and multi-sink WSN


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