Lightweight TinyML-Enhanced Task Offloading in VANETs for Next-Generation Intelligent Transportation Systems

Vehicular Ad Hoc Networks (VANETs) face resource constraints, high node mobility, and stringent latency requirements, especially in safety-critical applications such as collision avoidance, path planning, and emergency braking. Task offloading to nearby vehicles or Roadside Units (RSUs) mitigates lo...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Muhammad Ali, Tariq Qayyum, Asadullah Tariq, Zouheir Trabelsi, Irfan Ud Din, Shabir Ahmed
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Open Journal of the Communications Society
Témata:	Vehicular ad hoc networks (VANETs) tiny machine learning (TinyML) task offloading credibility assessment mobility-aware offloading link stability prediction
On-line přístup:	https://ieeexplore.ieee.org/document/11611191/
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!