Would you like to participate or present at the Virtual OMNeT++ Summit on November 7-8, 2023? Express your interest by filling out this form. If you want to present your work on the summit, please register and send your abstract as soon as possible because the submission deadline is October 1, 2023.
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.
The OMNeT++ summit, an online event featuring 14 presentations, was a resounding success. In addition to the presentations, an open plenary discussion took place, providing attendees with an opportunity to engage with the speakers and discuss the content in more depth. The presentation slides and video recordings from the summit are now available on the event’s website for those who missed out or would like to review the content.
This is a maintenance release which contains more than two dozen bugfixes in the simulation runtime, the IDE, the Analysis Tool, the NED documentation generator and Qtenv. The documentation, including the Install Guide, was also updated at various places.
Key features of TSN were added to the INET Framework in version 4.4 (requires OMNeT++ 6.0). The model was developed together with an automotive industry partner to ensure relevance and is able to simulate the most important features of this domain. TSN refers to a set of IEEE 802 standards that make Ethernet deterministic by default. TSN components in INET are composable, making them easy to modify and experiment with. They can also be used together in non-standard novel ways, or with other tools such as external solvers for gate scheduling.
Groups of showcases are available for the following topics: Time Synchronization, Per-Stream Filtering and Policing, Automatic Gate-Schedule Configuration, Scheduling and Traffic Shaping, Frame Replication and Elimination for Reliability, Frame Preemption, Cut-Through Switching and combination of the above.
Detailed documentation can be found in the INET User’s Guide.