An Integrated Framework for Network Emulation and Multi-vehicle Algorithm Testing
Authors/Creators
Description
As drones and autonomous vehicles become integral to smart city infrastructures, there is a growing need for tools that can accurately evaluate their behavior under realistic communication and mobility conditions. Existing frameworks often lack support for scalable scenarios, realistic wireless emulation, or the integration of heterogeneous vehicle types. This demonstration presents UNetyEmu as a novel framework that combines real-time network emulation with high-fidelity mobility simulation, enabling realistic experimentation with both aerial and non-aerial autonomous vehicles. This integration allows researchers to evaluate vehicle coordination under dynamic communication conditions typical of smart city scenarios.
Files
sigcomm25posterdemo-final100.pdf
Files
(1.9 MB)
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Additional details
Identifiers
Related works
- Is described by
- Video/Audio: https://youtu.be/hIALCvXoSjQ?si=5EQCA7tLVn5fURgv (Other)
- Is new version of
- Conference proceeding: https://zenodo.org/records/15578007 (Other)
Funding
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- SMART NEtworks and ServiceS for 2030 (SMARTNESS) 2021/00199-8
Software
- Repository URL
- https://github.com/intrig-unicamp/UNetyEmu
- Programming language
- C# , Python
- Development Status
- Active