Task co-offloading for D2D-assisted mobile edge computing in industrial internet of things
Mobile edge computing (MEC) and device-to-device (D2D) offloading are two promising
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …
Joint task offloading and resource allocation for energy-constrained mobile edge computing
We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …
BARGAIN-MATCH: A game theoretical approach for resource allocation and task offloading in vehicular edge computing networks
Vehicular edge computing (VEC) is emerging as a promising architecture of vehicular
networks (VNs) by deploying the cloud computing resources at the edge of the VNs …
networks (VNs) by deploying the cloud computing resources at the edge of the VNs …
Joint offloading scheduling and resource allocation in vehicular edge computing: A two layer solution
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 …
reduce delay and energy consumption of tasks. The problem of joint task offloading …
Energy and latency efficient joint communication and computation optimization in a multi-UAV assisted MEC network
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system is a
prominent strategy where a UAV equipped with an MEC server is deployed to serve terminal …
prominent strategy where a UAV equipped with an MEC server is deployed to serve terminal …
MOTO: Mobility-aware online task offloading with adaptive load balancing in small-cell MEC
Mobile edge computing is a promising computing paradigm enabling mobile devices to
offload computation-intensive tasks to nearby edge servers. However, within small-cell …
offload computation-intensive tasks to nearby edge servers. However, within small-cell …
Drl-driven joint task offloading and resource allocation for energy-efficient content delivery in cloud-edge cooperation networks
With the proliferation of mobile devices (eg, vehicles and smartphones), rich media content
services from massive users lead to high network resource consumption and energy usage …
services from massive users lead to high network resource consumption and energy usage …
DNN partition and offloading strategy with improved particle swarm genetic algorithm in VEC
C Li, L Chai, K Jiang, Y Zhang, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to
satisfy the growing computation and communication needs of vehicle systems. With the …
satisfy the growing computation and communication needs of vehicle systems. With the …
Resilient machine learning based semantic-aware MEC networks for sustainable next-G consumer electronics
In this paper, we investigate a semantic-aware mobile edge computing (MEC) network for
sustainable next-G consumer electronics, which leverages advanced semantic …
sustainable next-G consumer electronics, which leverages advanced semantic …
[HTML][HTML] Federated deep reinforcement learning-based task offloading and resource allocation for smart cities in a mobile edge network
X Chen, G Liu - Sensors, 2022 - mdpi.com
Mobile edge computing (MEC) has become an indispensable part of the era of the intelligent
manufacturing industry 4.0. In the smart city, computation-intensive tasks can be offloaded to …
manufacturing industry 4.0. In the smart city, computation-intensive tasks can be offloaded to …