Energy-efficient cooperative offloading for edge computing-enabled vehicular networks

H Cho, Y Cui, J Lee - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Edge computing technology has great potential to improve various computation-intensive
applications in vehicular networks by providing sufficient computation resources for vehicles …

Cooperative vehicles‐assisted task offloading in vehicular networks

Y Cui, L Du, P He, D Wu, R Wang - Transactions on Emerging …, 2022 - Wiley Online Library
Cooperative task offloading emerges a well‐received paradigm for mobile applications that
are sensitive to computational power, while dynamic and real‐time characteristics of …

Energy-efficient computation task splitting for edge computing-enabled vehicular networks

H Cho, Y Cui, J Lee - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
In this paper, we develop the energy-efficient resource allocation scheme for an edge
computing-enabled vehicular network. We first introduce the novel prescheduled task …

Optimal-delay-guaranteed energy efficient cooperative offloading in VEC networks

Y Zhu, T Yang, Y Hu, W Gao… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
Taking into consideration of vehicle mobility and fairness, in this paper we provide a
cooperative offloading algorithm maximizing the energy efficiency for a vehicular edge …

Energy-efficient computation offloading for vehicular edge computing networks

X Gu, G Zhang - Computer Communications, 2021 - Elsevier
The demanding computing capacity of emerging vehicular applications has emerged as a
challenge in Internet of vehicles (IoVs). Multi-access edge computing (MEC) can significantly …

[HTML][HTML] Joint computation offloading and resource allocation in vehicular edge computing networks

S Liu, J Tian, C Zhai, T Li - Digital Communications and Networks, 2022 - Elsevier
Abstract Vehicular Edge Computing (VEC) is a promising technique to accommodate the
computation-intensive and delay-sensitive tasks through offloading the tasks to the …

Deep learning-assisted energy-efficient task offloading in vehicular edge computing systems

B Shang, L Liu, Z Tian - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In this paper, we study an energy-efficient computation offloading for vehicular edge
computing systems, where multiple roadside units assist vehicular users to offload …

Sac-based computation offloading and resource allocation in vehicular edge computing

Y Zheng, H Zhou, R Chen, K Jiang… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
The Vehicular Edge Computing (VEC) provides powerful computing resources for intelligent
terminals. However, the diversity of computing resources at edge nodes (ie, edge servers …

Joint offloading and resource allocation in vehicular edge computing and networks

Y Dai, D Xu, S Maharjan… - 2018 IEEE global …, 2018 - ieeexplore.ieee.org
The emergence of computation intensive on-vehicle applications poses a significant
challenge to provide the required computation capacity and maintain high performance …

Learning based energy efficient task offloading for vehicular collaborative edge computing

P Qin, Y Fu, G Tang, X Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Extensive delay-sensitive and computation-intensive tasks are involved in emerging
vehicular applications. These tasks can hardly be all processed by the resource constrained …