Omnet++ Tutorial is the best way to learn about Omnet completely. We have highlight the most important points for the students to quickly learn about Omnet++. Also We are working with Omnet for the past 10 years and nearly develop 1000+ projects in Omnet. Students from 120+ countries got benefit with our work, which makes us more experience and expertise.  Due to our vast experience, we have found out many unknown issues about Omnet, in which we have mention few below for the student’s reference. Our experts are members in 500+ journals, which make them updated with all the latest concepts and idea.

We prefer unique and novel ideas for each student, which makes our students to stand high in the midst of others. Omnet is a wonderful area to explore, let’s join hands together to create revolution in the field (Omnet) of research with our novel and newfangled ideas.



Major features of Omnet++:
  • C++ based discrete event simulator
    • Hierarchically nested modules
    • Communication through channels using messages
    • Flexible module parameters
    • Topology description language using NED
  • OMNEST(Commercial version)-used also for academic purpose
  • Major two components(Simulation kernel and also Utility classes)
  • Graphical user interface with Tkenv and also Qtenv
  • Command line interface also using Cmdenv
  • Main files used(INI , NED, C++ module (.cc, .h))
  • Visualizing tools(Canvas(2D) and also OSG(3D))
  • Result analysis tools(GNED, Scalars, also Plove,GNU R,Numpy, SciPy,MatPlotLib,Matlab octave, ROOT, Grace, spreadsheet)
  • Tools to document large simulation(opp_neddoc)
  • External Interfaces(Extension to real time simulation, MRIP, Parallel distributed simulation, Emulation and database connectivity)

Omnet-simulation frameworks

  • Latest stable version(3.4)
  • Support for OverSim, Veins and also many other simulators
  • Provides Models for TCP, IPv6,UDP, Adhoc routing protocols etc
  • Used for wired(Ethernet, CAN etc) and also wireless networks(adhoc, sensor networks etc)
  • Used for Wireless sensor networks, Ad hoc networks and also many other wireless standard
  • Provide support for ChSim, MacSimulator, Positif etc
  • CASTALIA(For wireless sensor networks)

Major components

NED(Network descriptor)-defines topology
  • Used for topological description language
  • Contains random variables
  • Hierarchical and also typed module structure
  • Flexible partitioning of Model(Parallel execution)
C++ Class library- defines behaviour
  • Modules, gates and also connections
  • Parameters
  • Container classes(e.g queue, array)
  • Messages
  • Data collection classes
  • Transient detection and also result accuracy detection classes
  • Statistics and distribution estimation classes
  • Utility classes(Random number generator, Pattern matching, Routing support, statistical collection, Watches and also snapshots, recording simulation results)
  • Simulation kernel(Manage simulation library)
  • User Interface(For simulation execution)

Simulation steps

It is mainly based on NED (Network descriptor), C++ class library (defines the modules) and Message files.

Overall procedure involved:
  • Message files(.msg) are converted into C++ codes using opp_msgc program.
  • Next the C++ sources are compiled and linked with the user interface library and simulation kernel to form simulation execution (.exe).
  • NED files get loaded automatically, once the simulation programs start.
  • NED files contains the topological description which is read, when the program start.
  • It then reads the configuration files (.ini files) which contains the control of how the simulation should run and values for model parameters.
  • All the simulation programs run one after the other as per the instruction provided in the ini files.
  • Output files are return in the output vector files and also output scalar files.
  • As output files are object oriented files, it can be processed using various statistical tools like Matlab, Python, GNU R, Perl and aso spreadsheet programs.

Installation of Omnet

Supported Operating systems:
  • Windows 7 and also 10(32 bits)
  • Mac OS X 10.10 or later
  • Linux or Unix like systems
For Omnet-Simulation IDE:
  • Windows 7, 10
  • Linux (32/64 bits)
  • MAC OS X 10.10 or later
  • Need to check with the Platform and use the require compilers and additional package for installation.

External Interfacing with third party hardware’s

  • Can be integrated with Icon cloud(using cloud-sim)
  • Omnest can be integrate with Matlab to provide embedded application support
  • Omnest (using INET framework) along with Hardware in loop can provide hardware integration.


These are few issues in Omnet, which we found through our experience. There are many such issues which have to be known about Omnet++, we can provide you  the right guidance to use Omnet++ with the help of our top experts.

While using Omnet++ with Veins LTE and SUMO, I am getting an error of “Not for commercial use”, how to rectify it?
  • This solution is found by our experts- You need to go to the environment path in Makefile file and need to change it according to the installation path.
I have developed my application using SimLTE and Omnet++(4.6), but now I am using Omnet++(4.4) and getting compiler error, what has to be done?
  • This one can be solve by changing the environment path in the Makefile
While using Omnet++, I need to build it again and again, why?
  • Actually there 2000 in built files in Omnet++. If you use the RAM capacity of 2GB, only 750 files get compiled first, which is the reason you need to built again and again.
I cannot install OS3 framework, getting error, how to solve it?
  • While installing OS3 framework, add DLLS files to the binary folder. OS3 is a satellite framework which needs this additional package.

   Our Omnet++ tutorial will make you know about our standard and level of knowledge. To get support for your projects, assignments, lab cycles and research proposal, you can approach us anytime. We feel pleasure in supporting you and your needs.

Below, we have provided few recent research topics, for you to get a better understanding about Omnet.
  • A new secure performance of Delay-Aware Optimization of Physical Layer Security also in Multi-HopWireless Body Area Networks
  • The novel mechanism for Joint Beam-forming, Power, and Channel Allocation in Multi-user and also Multichannel Underlay MISO Cognitive Radio Networks
  • A new technology for Handover Decision also in Heterogeneous Networks
  • The performance of Hash Function and also Bloom Filter-Based Approach used for Discovering Mobile Applications also in Cellular Device-to-Device Communications
  • A new technique on Cost-Efficient Sensor Placement also for Contaminant Detection in Water Distribution Systems