Vehicle as a service (VaaS): Leverage vehicles to build service networks and capabilities for smart cities

X Chen, Y Deng, H Ding, G Qu, H Zhang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Smart cities demand resources for rich immersive sensing, ubiquitous communications,
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …

Task offloading strategies for mobile edge computing: A survey

S Dong, J Tang, K Abbas, R Hou, J Kamruzzaman… - Computer Networks, 2024 - Elsevier
With the wide adoption of 5G technology and the rapid development of 6G technology, a
variety of new applications have emerged. A multitude of compute-intensive and time …

Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing

L Liu, J Feng, X Mu, Q Pei, D Lan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …

Multi-agent DRL-based Hungarian algorithm (MADRLHA) for task offloading in multi-access edge computing Internet of Vehicles (IoVs)

MZ Alam, A Jamalipour - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
This paper investigates the computation offloading problem in a high mobility internet of
vehicles (IoVs) environment, aiming to guarantee latency, energy consumption, and …

Partial computation offloading in parked vehicle-assisted multi-access edge computing: A game-theoretic approach

XQ Pham, T Huynh-The, EN Huh… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Parked vehicle-assisted multi-access edge computing (PVMEC) is a paradigm that exploits
the under-utilized resources of parked vehicles (PVs) to assist MEC servers for offloaded …

Resource allocation in DT-assisted Internet of Vehicles via edge intelligent cooperation

T Liu, L Tang, W Wang, X He, Q Chen… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Applications in the Internet of Vehicles (IoV) are usually accompanied by ultralow network
response latency requirement. A promising approach to meet this demand is combining the …

Communication solutions for vehicle ad-hoc network in smart cities environment: A comprehensive survey

VK Quy, VH Nam, DM Linh, NT Ban, ND Han - Wireless Personal …, 2022 - Springer
In recent years, the explosive growth of multimedia applications and services has required
further improvements in mobile systems to meet transfer speed requirements. Mobile Ad-hoc …

Efficient task allocation for computation offloading in vehicular edge computing

Z Zhang, F Zeng - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular edge computing, the edge servers may be overloaded once too many vehicles
request the task offloading service, which will cause task offloading failure or the high …

Toward reliable DNN-based task partitioning and offloading in vehicular edge computing

C Liu, K Liu - IEEE Transactions on Consumer Electronics, 2023 - ieeexplore.ieee.org
Modern vehicles have become typical consumer electronics with the development of
sensing, transmission, and computation technologies. The emerging intelligent …

MCLA task offloading framework for 5G-NR-V2X-based heterogeneous VECNs

MA Mirza, Y Junsheng, S Raza… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Ensuring dependable quality of service (QoS) and quality of experience (QoE) for
computation-intensive and delay-sensitive applications in vehicles can be a challenging …