The Simulator NS3 represents the network simulator 3 that is used for Internet systems. It is a discrete-event network simulator, which describes that this simulator is designed for dynamic systems. Discrete-event simulation is the process of codifying complex system behavior into well-defined events of ordered sequence.

The Core of Network Simulator 3 is wrapped up in the application called Python and it is written in C++ language to make available with standalone application and reusing of Library. There is also a Monte Carlo simulation system. Along with the NS3 simulator, there are other series NS2 found before.

“This article gives you a more detailed account of this method which helps in a real-life situation is simulated into a program or machine. And it gives wide-ranged information about this topic which helps in researching”.

Our experts give the topic very research confidential. There are lots of varieties of topics to be discussed in upcoming pages used to measure network performance. We have given a different perspective on Simulator NS3.

NS3 Configurations and Attributes

In Network Simulator 3 simulation, there are two main aspects to the configuration:

  • How objects are connected and the simulation topology?
  • In the Topology, the values used by the models are instantiated?

The default functions and methods are arranged for the simulation. They are explained below:

  • Method

When attributes are defined in Get TypeId ().

  • Scope

It affects all instances of the class.

  • Method

MyClass::Set ()

Object::SetAttribute () Config::Set ()

  • Scope

Once the simulation started running, this form alone can be scheduled to alter an instance. This particular instance gets altered.

  • Method

Helper methods with parameter pairs (attribute value/string)

Simulator NS3 Research Guidance


All the instances created by the helper get affected.

  • Method

CommandLine Config::SetDefault () ConfigStore


All future instances get affected.

  • Method



All instances created with the factory get affected.

Improving the memory management and arranging the system are the additional properties these Objects contain. There are many numbers of Network Simulator NS3 Objects assumed from the Object base class. Those properties are discussed below:

  • For memory management, implementing of smart pointer for Reference counting.

There are attributes that the systems use to derive either from Object or Object Base. Most of the Network Simulation 3 objects will come from the Object, there is some smart pointer memory management framework coming from the Objectbase.

  • The metadata system gives information about the object that connects the class name. They include: For each attribute, there are some allowed ranges of values.
  • The set of attributes of the subclass.
  • Whether each attribute can be set or is read-only.
  • The base class of the subclass.
  • In the subclass, there are some sets of accessible constructors.

Simulator class and function in Network Simulator NS3:

  • NS3::Simulatorlmpl:: IsFinished

This function in the member is used to check whether the simulation is finished. There are some particular reasons to be finished because in the schedule, there are no more events left or there may be “Stop-time”, the simulation time should be reached already. If no more stop time or events reaches, then the value that returns becomes true.

  • NS3::Simulatorlmpl:: Cancel

To cancel bit on this even this member function is used, when it expires the associated function of the event will not get invoked. Like ns3::Simulator:: Remove, this method also has some visible effect but the complexity of the algorithm is very lower. This method conveys the meaning same as ns3:: EventId:: Cancel. The events scheduled for the “Destroy” time cannot be canceled. The process is based on the [in] id the event to cancel Parameter.

  • ns3::SimulatorImpl::Remove

This function is used to remove an event from the list of events. Further, this uses the cancellation method i.e. ns3::EventId::Cancel method, which has higher algorithmic complexity and importantly considers that NS3 does not remove any events scheduled previously.

  • NS3::Simulatorlmpl Class

The size of this type is 32 bytes. The Simulatorlmpl is the class belonging to base. There are no attributes explained for this type and no Tracesources, to perform the simulation process by this class.

  • NS3::Simulatorlmpl::Run

To run the simulation, this member function is used. The simulation will run with any one of them:

  1. The next event’s expiration time will be processed greater than or equal to the stop time. With a stop time, the user can call Simulator:: Stop.
  2. No events are there to present anymore.
  3. NS3::Simulatorlmpl::Now

The current simulation virtual time is returned by this member function.

  • NS3::Simulatorlmpl::IsExpired

If the event has already been canceled or running is checked by this member function. The events that were scheduled for the destroy time cannot be tested for the expiration. In one condition, the event is said to be ‘expired’, when the schedule has started the code executed by the event calls this function to get it true.

Parameters: [in] id the event to test for expiration.

Returns = True

Expired = False

  • NS3::Simulatorlmpl::Get Context

The current simulation context is got by this member function. The ns3 notion of logical process is the simulation context. Events in a single context can only change the state connected with the context. Events for objects in other words can be planned with ScheduleWithContext () to follow the context switches. In other context events in different words should be equally safe; overlapping model states should not be modified. If the function returns, the simulation of the current context value becomes true.

  • NS3::Simulatorlmpl::Destroy

To avoid fake optimistic reports by a leak checker, this method is used at the end of the simulation. To execute the events of member function it is scheduled with ScheduleDestroy (). Possibly to restart a new simulation, this method has involved a set of calls to Simulator::ScheduleWithContext, Simulator::Schedule, and Simulator::Run.

Satellite Network Simulator3 (SNS3)

           SNS3 stands for Satellite Network Simulator NS3 which is an extension to Network Simulator 3 for satellite communication networks. This Satellite network is in the model of transparent star payload, multi-spot beam satellite Communication Simulator, and geostationary satellite.

Satellite Network Simulator 3 helps in great services like Configuration and simulation campaign creation, which is built by the analytics and visualization for the results of the simulation, is appreciated by the scalable capacity of cloud computing for running simulations.

Satellite Network Simulator 3 is built up as an example model and flexible to give extensibility to give communication network to a variety of satellites and use for the cases. The case used here is ranges from Single User Quality to full network-level performance. This simulator is a system of Dynamic, where the burst revolution is at a physical work

There are many features for the satellite network includes, example,

  • Intra-beam interference tracking and packet-by-packet co-channel.
  • Return Link Encapsulation(RLE)
  • Return and Forward link scheduling
  • Adaptive Coding and Modulation(ACM)
  • Generic System Encapsulation(GSE)
  • Packet-by-Packet SNIR computation
  • Random Access: Contention Resolution Diversity Slotted ALOHA(CRSDA) and Slotted ALOHA
  • Multi-beam satellite antenna gain patterns
  • Demand Assignment Multiple Access: Free Capacity Allocation, Volume-Based Dynamic Capacity, Constant Rate Allocation, and Rate-Based Dynamic Capacity
  • Land Mobile Satellite Channel and Weather traces
  • Automatic Repeat Request(ARQ)

Thesis Topics in Simulator NS3

  • Cellular V2X with D2D Communications for Emergency Message Dissemination and Quality of Service assured Routing in 5G environment.
  • For positioning of Autonomous vehicles in urban settings, 5g cell Densification Evaluation.
  • BLAME: A Blockchain-Assisted Misbehavior Detection and Event Validation in VANETs.
  • For cooperative Unmanned Aerial Vehicle, Optimized Predictive and Adaptive Routing (OPAC) was used.
  • For Big Data Analysis in A Vehicular Ad hoc Network, Machine Learning-Based Intrusion Detection System is used.

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