Joint optimization of energy and delay in task offloading process of electric connected vehicles

J Qiu, B Mao, J Liu - ICC 2023-IEEE International Conference …, 2023 - ieeexplore.ieee.org
The rapid development of 5G and battery has enabled the electricity-driven intelligent
connected vehicles to become the focus of current automobile industry. With automobiles …

Result return aware offloading scheme in vehicular edge networks for IoT

W Huang, K Ota, M Dong, T Wang, S Zhang… - Computer …, 2020 - Elsevier
With the development of microprocessor technology, massive IoT devices are deployed in
smart cities which promotes numerous supervisory control and data acquisition (SCADA) …

Joint optimization of network selection and task offloading for vehicular edge computing

L Tang, B Tang, L Zhang, F Guo, H He - Journal of Cloud Computing, 2021 - Springer
Taking the mobile edge computing paradigm as an effective supplement to the vehicular
networks can enable vehicles to obtain network resources and computing capability nearby …

Partial Offloading and Resource Allocation for MEC-Assisted Vehicular Networks

H Zhang, X Liu, Y Xu, D Li, C Yuen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the long-distance communication and the limited resources, traditional full offloading
algorithms cannot fully exploit radio and computation resources, which may cause more …

A survey on computation resource allocation in IoT enabled vehicular edge computing

Naren, AK Gaurav, N Sahu, AP Dash… - Complex & Intelligent …, 2021 - Springer
The number of vehicles is increasing at a very high rate throughout the globe. It reached 1
billion in 2010, in 2020 it was around 1.5 billion and experts say this could reach up to 2–2.5 …

MSSAMTO-IoV: modified sparrow search algorithm for multi-hop task offloading for IoV

M Alseid, AA El-Moursy, O Alfawaz… - The Journal of …, 2023 - Springer
Mobile edge computing (MEC) is an emerging technology that can be integrated with the
Internet of vehicles (IoV) to enhance vehicle services with low latency and optimize task …

Energy-Efficient Vehicular Edge Computing with One-by-one Access Scheme

Y Jang, S Jeong, J Kang - IEEE Wireless Communications …, 2023 - ieeexplore.ieee.org
With the advent of ever-growing vehicular applications, vehicular edge computing (VEC) has
emerged as a solution to augment the computing capacity of future smart vehicles. However …

Latency-energy tradeoff in connected autonomous vehicles: A deep reinforcement learning scheme

I Budhiraja, N Kumar, H Sharma… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Vehicle Edge Computing (VEC)-assisted computational offloading brings cloud computing
closer to user equipment (UEs) at the edge of the access network by delivering various …

Joint wireless resource and computation offloading optimization for energy efficient internet of vehicles

D Pliatsios, P Sarigiannidis, TD Lagkas… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm, which is expected to be an integral
component of beyond-fifth-generation and sixth-generation mobile networks. However, the …

JOET: sustainable vehicle-assisted edge computing for IoT devices

W Huang, Z Zeng, NN Xiong, S Mumtaz - Journal of Systems Architecture, 2022 - Elsevier
Network-accessible task offloading is for low latency; offline task offloading is for low cost.
Offline devices cannot directly access service nodes due to lack of resources. Accordingly …