[HTML][HTML] DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs
The rapid growth of Automotive-Industry 5.0 and its emergence with beyond fifth-generation
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …
Computation Offloading in MEC-Enabled IoV Networks: Average Energy Efficiency Analysis and Learning-Based Maximization
TZH Ernest, AS Madhukumar - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
This paper investigates the energy efficiency of computation offloading strategies in multi-
access edge computing-enabled (MEC-enabled) Internet-of-Vehicles (IoV) networks. First …
access edge computing-enabled (MEC-enabled) Internet-of-Vehicles (IoV) networks. First …
A collaborative computation and offloading for compute-intensive and latency-sensitive dependency-aware tasks in dew-enabled vehicular fog computing: A federated …
The demand for vehicular networks is prolifically emerging as it supports advancing in
capabilities and qualities of vehicle services. However, this vehicular network cannot solely …
capabilities and qualities of vehicle services. However, this vehicular network cannot solely …
[HTML][HTML] Resource-aware multi-task offloading and dependency-aware scheduling for integrated edge-enabled IoV
Abstract Internet of Vehicles (IoV) enables a wealth of modern vehicular applications, such
as pedestrian detection, real-time video analytics, etc., that can help to improve traffic …
as pedestrian detection, real-time video analytics, etc., that can help to improve traffic …
[HTML][HTML] Task offloading for edge-IoV networks in the industry 4.0 era and beyond: A high-level view
M Talebkhah, A Sali, V Khodamoradi… - … Science and Technology …, 2024 - Elsevier
As a promising platform on the Internet of Things (IoT), the smart Internet of Vehicle (IoV) has
emerged with the advent of the key connectivity to Industry 4.0, ie Fifth-Generation Mobile …
emerged with the advent of the key connectivity to Industry 4.0, ie Fifth-Generation Mobile …
Multi-agent DRL-based task offloading in multiple RIS-aided IoV networks
This article considers an internet of vehicles (IoV) network, where multi-access edge
computing (MAEC) servers are deployed at base stations (BSs) aided by multiple …
computing (MAEC) servers are deployed at base stations (BSs) aided by multiple …
Deep deterministic policy gradient-based algorithm for computation offloading in IoV
The continuous evolution of cellular networks has resulted in the rapid increase in both
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …
Hybrid Task Scheduling in Cloud Manufacturing With Sparse-Reward Deep Reinforcement Learning
Cloud manufacturing (CMfg) converts the traditional manufacturing system into an Internet-of-
things-enabled (IoT-enabled) manufacturing system, where both manufacturing and …
things-enabled (IoT-enabled) manufacturing system, where both manufacturing and …
Video data offloading techniques in Mobile Edge Computing: A survey
H Ma, B Ji, H Wu, L Xing - Physical Communication, 2023 - Elsevier
Driven by the Quality of Experience (QoE) demands for video analysis applications within
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach
Vehicular edge computing (VEC) is emerging as a new computing paradigm to improve the
quality of vehicular services and enhance the capabilities of vehicles. It enables performing …
quality of vehicular services and enhance the capabilities of vehicles. It enables performing …