3 papers
cs.NI2025
On-Dyn-CDA: A Real-Time Cost-Driven Task Offloading Algorithm for Vehicular Networks with Reduced Latency and Task Loss
Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek +2
Real-time task processing is a critical challenge in vehicular networks, where achieving low latency and minimizing dropped task ratio depend on efficient task execution. Our prima…
cs.NI2025
Meeting Deadlines in Motion: Deep RL for Real-Time Task Offloading in Vehicular Edge Networks
Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek +2
Vehicular Mobile Edge Computing (VEC) drives the future by enabling low-latency, high-efficiency data processing at the very edge of vehicular networks. This drives innovation in k…
cs.NI2025
A Reliable and Efficient 5G Vehicular MEC: Guaranteed Task Completion with Minimal Latency
Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek +2
This paper explores the advancement of Vehicular Edge Computing (VEC) as a tailored application of Mobile Edge Computing (MEC) for the automotive industry, addressing the rising de…