Overall computing offloading strategy based on deep reinforcement learning in vehicle fog computing

HZ Tan, L Zhu - The Journal of Engineering, 2020 - Wiley Online Library
In order to solve the problem of network congestion caused by a large number of data
requests generated by intelligent vehicles in LTE‐V network, a brand‐new fog server with …

Delay-aware intelligent task offloading strategy in vehicular fog computing

I Sarkar, S Kumar - … on Connected Systems & Intelligence (CSI), 2022 - ieeexplore.ieee.org
In the era of Internet of Things (loT), data offloading become a promising and crucial strategy
to improve the overall system performance and also to provide quality-of-service (QOS). In …

FedDOVe: A Federated Deep Q-learning-based Offloading for Vehicular fog computing

V Sethi, S Pal - Future Generation Computer Systems, 2023 - Elsevier
Abstract Connected Autonomous Vehicles (CAVs) aim to provide various smart
transportation applications which have computation-intensive tasks. The vehicles having …

Toward developing fog decision making on the transmission rate of various IoT devices based on reinforcement learning

M Mobasheri, Y Kim, W Kim - IEEE Internet of Things Magazine, 2020 - ieeexplore.ieee.org
In recent years, the focus on reducing the delay and the cost of transferring data to the cloud
has led to data processing near end devices. Therefore, fog computing has emerged as a …

An efficient task offloading strategy based on Aquila Student Psychology Optimization Algorithm in internet of vehicles‐fog computing systems

S Lohat, S Jain, R Kumar - International Journal of …, 2024 - Wiley Online Library
Internet of vehicles (IoV) comprises connected vehicles and connected autonomous
vehicles and offers numerous benefits for ensuring traffic and safety competence. Several …

Processing capability and QoE driven optimized computation offloading scheme in vehicular fog based F-RAN

T Ye, X Lin, J Wu, G Li, J Li - World Wide Web, 2020 - Springer
Abstract The Fog Computing was proposed to extend the computing task to the network
edge in lots of Internet of Things (IoT) scenario, such as Internet of Vehicle (IoV). However …

Deep reinforcement learning for computation offloading in mobile edge computing environment

M Chen, T Wang, S Zhang, A Liu - Computer Communications, 2021 - Elsevier
Recently, in order to distribute computing, networking resources, services, near terminals,
mobile fog is gradually becoming the mobile edge computing (MEC) paradigm. In a mobile …

Resource allocation for vehicular fog computing using reinforcement learning combined with heuristic information

S Lee, SK Lee - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) has emerged as a key component of smart cities. Connected
vehicles are increasingly processing real-time data to respond immediately to user requests …

Adaptive offloading for time-critical tasks in heterogeneous internet of vehicles

C Liu, K Liu, S Guo, R Xie, VCS Lee… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the recent development of wireless communication, sensing, and computing
technologies, Internet of Vehicles (IoV) has attracted great attention in both academia and …

Cloud–Fog Collaborative Computing Based Task Offloading Strategy in Internet of Vehicles

C Zhu, C Liu, H Zhu, J Li - Electronics, 2024 - mdpi.com
Vehicle terminals in the mobile internet of vehicles are faced with difficulty in the
requirements for computation-intensive and delay-sensitive tasks, and vehicle mobility also …