Published September 8, 2025 | Version v1

An Integrated Framework for Network Emulation and Multi-vehicle Algorithm Testing

  • 1. ROR icon Universidade Estadual de Campinas (UNICAMP)
  • 2. ROR icon Universidade Federal do Rio Grande do Norte
  • 3. ROR icon Telefonica Research and Development

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

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Additional details

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