Overview

OMNEST is used by researchers and R&D engineers worldwide to investigate various scenarios and design alternatives: architectural designs, wireless and wired protocols and networks, queueing-based and other systems. OMNEST lets you build and evaluate simulations in a world-class integrated Simulation IDE, and you can also embed simulations in your own software products.

OMNEST is the commercial version of the OMNeT++ simulation environment, which is well known and widely used in academic and research communities.
 

Application Fields

▪ INET Framework - supports ad-hoc, wireless and wired (LAN, WAN) simulations(802.11,Ethernet,

  TCP, IP, IPv6, OSPF, MPLS, RSVP, and other protocols)

▪ OverSim- for overlay and peer-to-peer networks (based on INET)

▪ Mobility Framework- for wireless mobile and ad-hoc networks

▪ MiXiM - for wireless mobile and ad-hoc networks (successor of Mobility Framework)

▪ Castalia- a wireless sensor network (WSN) simulator developed at NICTA Australia

▪ PAWiS- Power Aware Wireless Sensor Networks Simulation Framework

▪ NesCT- for simulating wireless motes running TinyOS

▪ SimSANs- for simulating Storage Area Network   

▪ Existing protocol models can be freely combined to form hosts and network devices

Features

▪ Hierarchical, component-based modelling
   You build models from self-contained components using a high-level declarative language (NED),

   with   arbitrary levels of nesting. Use the graphical editor or your favourite text editor.

▪ C++-based, high performance simulation kernel
   Atomic components are programmed in C++, using a well-defined API to the simulation library.

  The use of C++, together with the streamlined simulation kernel, provides high event/sec

  throughput.

▪ Wide range of applicability
   OMNEST/OMNeT++ has proven itself in the simulation of queuing networks, business processes

   and  high-level architectures. In the academia, it is mostly used for simulating wired and wireless

   communication networks.

▪ Models are self-documenting
   The documentation tool generates high-quality documentation from commented model source

   code, with diagrams, tables and cross-references. Integrates well with the Doxygen C++

   documentation tool.

▪ Source code is provided
   Well-documented source code to increase your understanding, help debugging, and enable

   modifications is provided

▪ Standards support, open interfaces
   Input and output can be plain text and/or XML, making it easy to process with 3rd party tools.

   Database integration is also possible.

▪ Graphical tools for simulation building and evaluating results
   Apart from the GUI, command line, batch and API access is provided to all features, allowing for

   extremely versatile and powerful simulation control and management.

▪ Powerful GUI for tracing, debugging and animating your simulations
   In addition to animation and sophisticated logging, you can peek into objects and variables in the

   C++ code, even change them on the fly.

▪ Responsive and expert support
   Your requests are answered directly by the developers, not by techsup personnel.

Cases Studies

▪ Embeddable simulation kernel
   The simulation kernel can be embedded into 3rd party products as a C++ class library. See our

   References for companies who have already done that.

▪ Parallel simulation
   Parallel simulation on clusters or multiprocessors, with MPI and powerful conservative

   synchronization. Using named pipes or other communication means instead of MPI is also

   possible.

▪ Real-time and hardware-in-the-loop simulation

▪ SystemC integration
   Allows for mixing OMNEST and SystemC modules in the same simulation program (for OMNEST

   4.0; please request separately).

▪ HLA support
   Allows for connecting OMNEST with other simulators via HLA / IEEE 1516. (for OMNEST 4.0;

   please request separately).

▪ Network emulation capabilities
   Available as part of model packages like the INET Framework.

▪ Extensibility
   C++ plug-in interfaces are made available to customize various aspects of the simulation kernel.

▪ Database support
   Network topology and model configuration may come from a database, and results can be

   recorded into a database -- without changing a line in the model itself.