Computational Offloading for Autonomous Systems: Real-World Experiments and Modeling

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00387459" target="_blank" >RIV/68407700:21230/25:00387459 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/VTC2025-Spring65109.2025.11174768" target="_blank" >https://doi.org/10.1109/VTC2025-Spring65109.2025.11174768</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/VTC2025-Spring65109.2025.11174768" target="_blank" >10.1109/VTC2025-Spring65109.2025.11174768</a>

Result language
angličtina
Original language name
Computational Offloading for Autonomous Systems: Real-World Experiments and Modeling
Original language description
We focus on computation offloading from moving devices, such as mobile robots or autonomous vehicles to MultiAccess Edge Computing (MEC) servers via mobile network. To this end, we develop and implement a prototype of small autonomous vehicle with capability to offload processing of sensor data to MEC server via mobile network. Then, we investigate an impact of communication channel on delay and energy consumed by the autonomous vehicle for two practical applications, namely road sign recognition and path planning, in the real-world environment with a real physical equipment. Via experiments, we demonstrate benefits of the computation offloading on both energy and delay. The experiments highlight the potential of MEC for the autonomous systems allowing to reduce cost and increase scalability of such autonomous systems. Furthermore, based on the real-world experiments, we derive detailed models of energy consumption and delay for both practical applications.
Czech name
—
Czech description
—

Project
<a href="/en/project/LUASK22064" target="_blank" >LUASK22064: Predictive allocation of edge computing resources for autonomous driving</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2025 IEEE 101st Vehicular Technology Conference: VTC2025-Spring
ISBN
979-8-3315-3147-8
ISSN
2577-2465
e-ISSN
2577-2465
Number of pages
7
Pages from-to
—
Publisher name
IEEE
Place of publication
Piscataway
Event location
Oslo
Event date
Jun 17, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001699882900488

Similar results(10)