Energy Efficiency Optimisation of Joint Computational Task Offloading and Resource Allocation Using Particle Swarm Optimisation Approach in Vehicular Edge …

A Alam, P Shah, R Trestian, K Ali, G Mapp - Sensors, 2024 - mdpi.com
With the progression of smart vehicles, ie, connected autonomous vehicles (CAVs), and
wireless technologies, there has been an increased need for substantial computational …

QoS-aware task offloading and resource allocation optimization in vehicular edge computing networks via MADDPG

J Liu, Y Wang, D Pan, D Yuan - Computer Networks, 2024 - Elsevier
To meet the stringent requirements for real-time performance of computing tasks on the
Internet of Vehicles (IoV) scenario, the Mobile Edge Computing (MEC) technique is …

Research on task offloading optimization strategies for vehicular networks based on game theory and deep reinforcement learning

L Wang, W Zhou, H Xu, L Li, L Cai, X Zhou - Frontiers in Physics, 2023 - frontiersin.org
With the continuous development of the 6G mobile network, computing-intensive and delay-
sensitive onboard applications generate task data traffic more frequently. Particularly, when …

A Combined Marine Predators and Particle Swarm Optimization for Task Offloading in Vehicular Edge Computing Network

SS Abuthahir, JSP Peter - International Journal of Networked and …, 2024 - Springer
With the rapid advancement in technology, numerous advanced vehicular applications have
emerged that generate large volumes of data that need to be processed on the fly. The …

Energy‐efficient computation offloading and resource allocation in delay‐constrained vehicular edge network

J Yang, F Lin, DK Saini, Y Zhu, Y Li… - International Journal of …, 2022 - Wiley Online Library
Cellular vehicular‐to‐everything (C‐V2X), as a key technology of Internet of Vehicles (IoV),
is promised to be enhanced and strengthened to improve road traffic safety and achieve …

Distributed slice selection-based computation offloading for intelligent vehicular networks

J Tang, Y Duan, Y Zhou, J Jin - IEEE Open Journal of Vehicular …, 2021 - ieeexplore.ieee.org
Distributed artificial intelligence (AI) is becoming an efficient approach to fulfill the high and
diverse requirements for future vehicular networks. However, distributed intelligence tasks …

[HTML][HTML] Task offloading using GPU-based particle swarm optimization for high-performance vehicular edge computing

MA Alqarni, MH Mousa, MK Hussein - Journal of King Saud University …, 2022 - Elsevier
With mobile edge computing, vehicles can obtain nearby network resources and
computability and meet the growing demand for vehicular service at large scales. However …

[HTML][HTML] Energy-SLA-aware genetic algorithm for edge–cloud integrated computation offloading in vehicular networks

H Materwala, L Ismail, RM Shubair, R Buyya - Future Generation Computer …, 2022 - Elsevier
Abstract Vehicular Ad Hoc Networks (VANET) is an emerging technology that enables a
comfortable, safe, and efficient travel experience by providing mechanisms to execute …

Joint offloading scheduling and resource allocation in vehicular edge computing: A two layer solution

J Gao, Z Kuang, J Gao, L Zhao - IEEE transactions on vehicular …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm for autonomous driving. It can
reduce delay and energy consumption of tasks. The problem of joint task offloading …

An efficient many-objective optimization algorithm for computation offloading in heterogeneous vehicular edge computing network

X Wu, S Dong, J Hu, Z Huang - Simulation Modelling Practice and Theory, 2024 - Elsevier
Abstract Vehicular Edge Computing (VEC) provides flexible distributed computing paradigm
for vehicular network through computation offloading. With the advent of a growing of …