Revenue-Aware Vehicular Edge-Cloud Offloading via Two-Stage DRL and Dynamic Server Clustering

Modern vehicles generate large volumes of sensor data that can exceed onboard processing capabilities. While task offloading to edge servers reduces latency and alleviates resource scarcity at vehicles, vehicular mobility and dense traffic often create localized overloads where multiple neighboring...

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Hlavní autoři:	Soojeong Bang, Meejeong Lee
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Open Journal of Vehicular Technology
Témata:	Deep reinforcement learning mobile edge computing task offloading vehicular network
On-line přístup:	https://ieeexplore.ieee.org/document/11479807/
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