An Integrated Framework for Network Emulation and Multi-vehicle Algorithm Testing
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.
Authors
- Ramon dos Reis Fontes (ORCID: https://orcid.org/0000-0003-0012-4284)
- Fabricio Rodríguez (ORCID: https://orcid.org/0000-0003-1165-2808)
- Ariel Góes De Castro (ORCID: https://orcid.org/0000-0002-5391-5082)
- Christian Esteve Rothenberg (ORCID: https://orcid.org/0000-0003-3109-4305)
- Mauricio Rodríguez (ORCID: https://orcid.org/0000-0002-8027-3468)
Institutions
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Universidade Federal do Rio Grande do Norte (BR)
- Telefonica Research and Development (ES)
Publication Details
- Published
- 2025-09-08
- DOI
- https://doi.org/10.1145/3744969.3748436
- Primary Topic
- Vehicular Ad Hoc Networks (VANETs)
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundação de Amparo à Pesquisa do Estado de São Paulo