Links to other simulators:

OMNeT++ OMNeT++ is ancomponent-based, modular and open-architecture simulation environment with strong GUI support and an embeddable simulation kernel. The simulator can be used for modelling: communication protocols, computer networks and traffic modelling, multi-processors and distributed systems, etc. OMNeT++ also supports animation and interactive execution. It is freely distributed under an academic public license.
NS2 network simulator is the most widely used open source in both research and educational purposes. The main applications of this type of simulator are intended to:
• Simulate network structures and protocols of all types (satellite, wireless, wired, etc. ..)
• Develop new protocols and algorithms and test them.
• Compare different protocols in terms of their performance.

NS2 package includes a number of additional tools, such as:
nam: tool used to graphically display our simulations.
xgraph: used to make graphs from the simulation data. It grabs the simulator output file directly but have to generate additional files using scripts.

NS2 can simulate topologies, configurations, antennas, routing algorithms, technologies (bluetooth, wimax, wifi, etc.)..
GloMoSim GloMoSim is a scalable simulation environment for wireless and wired network systems. It employs the parallel discrete-event simulation capability provided by Parsec. GloMoSim currently supports protocols for a purely wireless network. In the future, we anticipate adding functionality to simulate a wired as well as a hybrid network with both wired and wireless capabilities. GloMoSim source and binary code can be downloaded only by academic institutions for research purposed. Commercial users must use QualNet, the commercial version of GloMoSim.
QualNet is a modelling tool for wireless and wired network,. The QualNet suite is composed of QualNet Simulator, which claims to be the fastest for real-time traffic modelling. QualNet Animator allows to graphically design the network model (using a wide library of components) and it displays the results of simulation runs. QualNet Designer allos to create Finite State Automata to describe the behaviour of your network, while with QualNet Analyzer and Designer you can interpret and make sense of simulation results. Windows and Linux versions are available. A demo can be downloaded on request.
NCTUns 2.0 The NCTUns is a high-fidelity and extensible network simulator and emulator capable of simulating various protocols used in both wired and wireless IP networks. Its core technology is based on the novel kernel re-entering methodology. NCTUns can be used as an emulator, it directly uses the Linux TCP/IP protocol stack to generate high-fidelity simulation results, and it has many other interesting qualities. It is commercialised by SimReal Inc.
SWANS SWANS is a scalable wireless network simulator built atop the JiST platorm. SWANS is organized as independent software components that can be composed to form complete wireless network or sensor network configurations. Its capabilities are similar to ns2 and GloMoSim, but is able to simulate much larger networks. SWANS leverages the JiST design to acheive high simulation throughput, save memory, and run standard Java network applications over simulated networks. In addition, SWANS implements a data structure, called hierarchical binning, for efficient computation of signal propagation.
NetSim NetSim is developed by Tetcos and it is an educational network simulation software. It contains modules for network programming and real time packet capture. The protocols covered in simulation are aloha, slotted aloha, Ethernet, Token Ring, Token Bus, W Lan, X.25 Frame Relay, ATM, TCP (Tahoe, reno and sack flavors) as well as devices like switches,routers APs etc. A demo version can be downloaded from the website.
C# Wireless Sensor Network Simulator This application developed in C # is a simulator for wireless sensor networks. It is used to detect and report certain events over a remote area. An example of a situation that could be simulated (as described by the authors on the project website) could be a network of sensors on a battlefield to detect and report the movement of troops. The idea behind this simulator is that one simply needs to deploy the sensor units for the coverage area eg releasing these units by means of a plane and returning to shore sensors are automatically activated, self-configuring a wireless mesh network and can send data to a receiver (which may be a satellite link). So one of the main features of this network is that collected data packets are transmitted continuously to the link and thus the network can be modeled as a directed graph. 
J-Sim  J-Sim is a component-based, compositional simulation environment developed by a team at the Distributed Real Time Computing Laboratory of the Ohio State University and by Illinois University. It is written in Java. It has been built on the autonomous component architecture which mimics the integrated circuit design and manufacturing model in terms of how components are specified, designed, and assembled.
SlimSim  Based on NS2 and GloMoSim as starting points, this option represents a much lighter simulator that offers basic simulation functionality that might be interesting to cases that simply require a simple simulation. NS2, for example, simulates the MAC layer (within the protocol stack) that may not be useful in general and in the case of wireless nodes its models are intended to reflect the complex interconnections between these nodes appear as channel congestion or shadowing that are very specific details of this type of network.
This simulator is therefore particularly useful when we want to simulate for example a simple network of wireless nodes with dynamic topology, symmetric links between nodes without channel interference and Gaussian model. Therefore, this simulator allows us to abstract a lot of details and aspects of the environment such as the placement of the channels, the propagation of radio devices and unidirectional links. The following summarizes the features offered:
  • Simulates nodes in a 2D plane.
  • Includes temporary adjustments
  • It is event-based simulation, currently supporting RECV, TX_EMPTY and user-defined events will.
  • Includes GF (2) library to provide 'random linear network coding'.
  • Provides a very small code that facilitates learning and extension.


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