Network Simulator – What is Network Simulation

Network Simulation

Simulation is is used to see the working of the developed programs world wide .Similarly, network simulation is the technique  or method which automatically predicts the future behavior of the network in the different situations, also depicts the future behaviour and interactions between the hardware attached to the networks. Network simulation helps the researchers and scientists to find out the errors and defects in the networking system and provide the assistance for improving the networks.


How network simulation works?

Different kind of entities are involved in the network simulation process including routers,bridges,packets and data links which collectively  uses the pre developed mathematical formulas for capture transfer and observing back the data.when there is certain break in the transmission of data stimulator lights blinks  to show the rejection of data travel different kinds of network simulator are used for this purpose.

Network Simulator:

Network simulator is a program that copy the functioning of soputer netwrokign system and depicts and predicts the  dta transfer and commuication exaclty in the way which is going to be happened when the simulated netwrok will be implmeneted on large scale.netwrok simulation models are prepared before the installation of netwoking programs ,in order to test that whether the devloped porgram is functioning properly or not. mnufacturee of netwroks and individula users can also customise their own netwrok simulators.they use protocols for there functing the most commonly used protocl is TCP.

Applications of netwrok simulation:

Network simulation technuiques are used in the commercial and technological sectors .they are not implementd in small scale inductries because these techniques are not cost commerical sector GUI based netwrok simulation is used to differntiate the individual packet of information.These techniques  are also  used for heavy processing  in the hub clinet set ups.toplogies are tested by using newtrok simulation methods.they show the beahviuor of the network inth best case nad worst case situations so that network capabilty could be tested properly.difernt tyoes of network simulators arte used aome of them are lisetd below.

Examples of Network Simulartion software:                                                     

Here are some of  the famous newtork simlautors which are used til now for the experimentl tests and for predictions of computer netwroks.

  1. ns2/ns3
  2. OPNET
  3. GloMoSi
  4. NetSim

Each of them has same structural sequence but different testing and depiction abilities, OPNET is widely used among four of them because it is platform independent can most accurate among all. Different kinds of network simulation techniques are also used in the network research centers to demonstrate the same network to find out the application dependency of computer network.

Drawbacks of  Simulation Programs:

There are various drawbacks of simulaton techniques, some drawbaks that throw the bad light on the technology are as follows Simulation progmas reqire haevay scripting and coding in them thata can only be done by the professional and experts Many professional hackers uses tthis  wonderful technque in order to infect the  entire computer system network.this is one of the major drawback of simulators. Simluatior cannot take the heavy amount of information. bulk of trace files are generrated as a result of execution of simulator.which sometimes fails to track out the risks or errors in the netwrok. Quite expensive to develop a simulator becsue it requires expertise and equavalent and compatible hardware to get executed.


Network simulation is the only technique that can be used to see the future behavior and functioning of computer networks. Emerging new technologies and research methods in the developments of network are the big challenge for the scientist who implements the simulation techniques. Advanced simulation is only practiced in the nuclear sciences but network simulation still requires more developed paradigms