NS3 Wireless Network Simulation

What is ns3?  NS3 is based on discrete-event simulation. It is an open computer networks simulation environment. The simulation helps in installing devices and applications. This network simulator 3 is the latest version. In this simulator, each event is associated with execution time. The simulation proceeds in the temporal time by executing events. As a result of the technology’s latest version, ns3 wireless network simulation designed by our experts is discussed below.

Our experts have in-depth research on this topic and analyzed a lot about the upcoming wireless technology. They have massive sources and it’s reliable. There are many novel ideas that will help you in your research. Our experts are working on this new technology to give many creative ideas about wireless network simulation.

This article speaks about ns3 wireless network simulation, this helps in the communication of information from one place to another without using cables. 

What is Wireless Network Simulation?

           Simulation is assuming the performance of a wireless network’s protocol, architecture, device, and topology, etc. The evaluation of wireless systems is cost-effective and flexible. The main aspects of wireless systems include physical and media access control layers, radio propagation, wireless node object model, and wireless network architectures 

Usage of Wireless Network Simulation

           Wireless communication is the transmission of information from one place to another without using cables. This can be one-way communication in a broadcasting system like radio and TV or Two-way communication like mobile phones. In telecommunication, this type of wireless communication is the transfer of information without the use of wires. Though in communication there are many types, wireless network taking place between computer devices is a distinguishing one. The devices include Laptops, Personal Computers, Servers, Printers, and Personal Digital Assistants. 

Categories of Wireless Network

Depending on the classification criteria, the wireless network can be classified into different categories. For example, it can be the size of the physical area that is capable of covering and domain of their use. There are many types of wireless networks that help in satisfying user requirements:

  • Wireless Local Area Network (LAN)
  • Wireless Metropolitan-Area Network(MAN)
  • Wireless Wide-Area Network (WAN)
  • Wireless Personal-Area Network (PAN) 

NS3 Wireless Network Simulation

           NS3 Wireless Network Simulation builds up a Dynamic Library for future events maintained in the sorted event list and supports transmission of event model packet. In the NS3 mobility models, a wireless network process can be performed. There are many types of models; our experts have designed for the research guidance. The models are listed below.

  • Random Walk2d Mobility Model

The instance moves with a particular direction and speeds randomly chosen with a user-provided random variable either with a fixed distance or a fixed amount of time. If the boundary of the model got hit, then it is rebounded on the boundary with a reflexive speed and angle. Some attributes are listed below. 

Latest NS3 Wireless Network Simulation

  • Time: Change current direction and speed after moving for this deal
    • Underlying type: Time
    • Set with class: Time Value
    • Initial Value : +1000000000.0ns
    • Flags: construct write read
  • Bounds: Bounds of the area to cruise.
    • Underlying type: Rectangle
    • Set with class: Rectangle Value
    • Initial Value: 0/0/100/100
    • Flags: construct write read
  • Distance: Current distance and speed changes after moving for this distance
    • Underlying type : double- 1.79769e+308:1.79769e+308
    • Set with class : ns3: Double Value
    • Initial Value: 1
    • Flags: construct write read
  • Mode:  To change current speed and direction, this mode indicates the condition
    • Underlying type: Distance/Time
    • Set with class : ns3: Enum Value
    • Initial Value: Distance
    • Flags: construct write read
  • Direction: The direction is picked by the random variable
    • Underlying type : ns3::Ptr<ns3::randomvariableStream
    • Set with class: ns3::Pointer Value
    • Initial Value: ns3::UniformRandomVariable
    • Flags: construct write read
  • Speed: The speed is picked by a random variable
    • Underlying type : ns3::Ptr<ns3::randomvariableStream
    • Set with class : ns3: Pointer Value
    • Initial Value : ns3::UniformRandomVariable
    • Flags : Construct write read
  • Gauss-Markov Mobility Model 

This model is a 3D version mobility model. The Gauss-Markov model has both variability and memory. The randomness and memory of the model are determined by the Alpha parameter. Each object starts with a direction, mean velocity, pitch angle, specific velocity, and pitch.Timestep, pitch angle, new velocity, and direction are based upon the mean value, previous value, and a Gaussian random variable. E.g. Airplane flight. The motion field is limited by a 3D bounding box, a 3D version of the “rectangle” field used in 2-dimensional ns-3 mobility models used in ns3 wireless network simulation.

  • Random Waypoint Mobility model

In the most simulation, this model is used. In this model, the notes move independently from one point to another. For every node, there is a random waypoint and speed. Then the nodes start moving with the chosen speed to the chosen waypoint. Here all nodes are in mobility.

Handover in the wireless network simulation using ns-3

  • A2-A4-RSRQ handover algorithm 

The A2-A4-RSRQ Algorithm gives the functionality of the handover algorithm included in LENA M6, ported to the management of Handover interface as the A2A4Rsrq Handover Algorithm class. The algorithm uses the Reference Signal Received Quality (RSRQ). The intended users are described below:

  • Event A4

RSRQ of the neighbor cell becomes better than the threshold. From every iteration, their corresponding RSRQ is detected and acquired. By default, the algorithm adds Event A4 with a very low threshold.

  • Event A2

RSRQ of the serving cell becomes worse than the threshold, it has the poor signal quality and can benefit from the handover.

There are two attributes that can be set to tune the behavior of Algorithm:

  • Neighbor Cell Offset
  1. Better Signal Quality
  2. RSRQ higher than the serving cell- target cell
  • Serving Cell Threshold
  1. The threshold for Event A2
  2. RSRQ lower in UE 

Research Topics in NS3 Wireless Network Simulation 

 Our experts have given a few research topics which will guide in selecting the research topic. They are given below:

  • Integration of data aggregation Algorithm for Energy Efficient Wireless Sensor Networks.
  • Analysis on Simulation Tools for Underwater Wireless Sensor Networks (UWSN).
  • Time Management in Mobile Software-Defined Wireless Sensor Networks to improve Quality of Service.
  • DRL algorithm in Wireless Networks for Fair Distributed Dynamic Spectrum.
  • To analyze LEACH Routing protocol in Wireless Sensor Network with Wormhole Attack

Our experts are working on the current trending topics of NS3 Wireless Network Simulation. Our technical team is very active to find out the updating versions of the technology in our society. In today’s digital world, everything becomes wireless and contactless. So this topic we have seen would stimulate interest to research in this topic. To gain more knowledge about this topic, you can contact our experts.


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