This update marks a significant refinement of OMNeT since version 6.0, impacting virtually every aspect of the simulation framework, including the IDE and simulation library. Among the various enhancements, the Analysis Tool stands out with major improvements to both its user interface and its underlying chart templates and Python library. For example, the new, highly customizable number and quantity formatting options facilitate the interpretation of raw simulation results displayed in the user interface; chart legends became much more customizable; and the enhanced plotting of enum-valued vectors allows much more appropriate visualization.

Additional notable updates include the ability to denote ini file sections as “abstract” (meaning they merely serve as base for further configurations); the validation of parameter values according to the @enum property; a new bookmarking feature and other enhancements in the Qtenv log window; a more streamlined operation of Project Features in the IDE; the possibility to have simulation programs dump the stack trace in the case of crashes; a new Python library for reading and querying NED files; and much more.

Important: Please read the installation instructions even if you are familiar with OMNeT , as there are new dependencies and the recommended way of installing Python packages has also changed. There is a new install.sh script in the root of the source distribution that will help you install OMNeT on your machine.

Read the What’s New page for more details.

This is a maintenance release, with several performance improvements in the simulation kernel and further adjustments.

IDE:

• Updated to Eclipse 4.30, CDT 11.4, Pydev 11.0
• Model installation dialogs: If the IDE was installed from opp_env, tell the user to install the model with opp_env, too.

This is a maintenance release of omnetpp-6.0. This release contains updated JRE and Eclipse dependencies for the IDE to fix several crashes with recent Gtk library versions on Linux. It also contains numerous fixes to the simulation kernel, Qtenv, and the Analysis Tool and the NED Documentation Generator in the IDE.

We have updated the model catalog with several new models: ComNetsHH-TSCH (Wireless Avionics Intra-Communications model using IEEE 802.15.4 TSCH mode), ComNetsHH-RPL (Routing Protocol for Low-Power and Lossy Networks, RFC 6550), ComNetsHH-TDMA (an abstract TDMA MAC protocol for INET), ComNetsHH-ML (materials on how to use Machine Learning frameworks in OMNeT ), CrowNet (framework for simulating pedestrian communication over mobile networks in urban and rural environments), GrADyS-SIM (framework for simulating cooperating swarms of UAVs in a joint mission, communicating through RF radios), MimicNet (predicting the performance of large-scale data center networks), Veins-Gym (exports Veins simulations as OpenAI Gyms to allow using reinforcement learning in the VANET domain), Veins-VLC (realistic simulation of vehicular visible light communication), WVSN (simulation model of a wireless video sensor network).

Please take a look and let us know if you have any other models or tools that should be added.