Energy efficient dynamic offloading in mobile edge computing for internet of things

Y Chen, N Zhang, Y Zhang, X Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With proliferation of computation-intensive Internet of Things (IoT) applications, the limited
capacity of end devices can deteriorate service performance. To address this issue …

Optimal computation resource allocation in energy-efficient edge IoT systems with deep reinforcement learning

JA Ansere, E Gyamfi, Y Li, H Shin… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This paper investigates a computation resource optimization problem of mobile edge
computing (MEC)-aided Internet-of-Things (IoT) devices with a reinforcement learning (RL) …

Optimal task offloading and resource allocation in mobile-edge computing with inter-user task dependency

J Yan, S Bi, YJ Zhang, M Tao - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has recently emerged as a cost-effective paradigm to
enhance the computing capability of hardware-constrained wireless devices (WDs). In this …

Online learning for distributed computation offloading in wireless powered mobile edge computing networks

X Wang, Z Ning, L Guo, S Guo, X Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A novel paradigm named Wireless Powered Mobile Edge Computing (WP-MEC) emerges
recently, which integrates Mobile Edge Computing (MEC) and Wireless Power Transfer …

Energy-latency tradeoff for energy-aware offloading in mobile edge computing networks

J Zhang, X Hu, Z Ning, ECH Ngai… - IEEE Internet of …, 2017 - ieeexplore.ieee.org
Mobile edge computing (MEC) brings computation capacity to the edge of mobile networks
in close proximity to smart mobile devices (SMDs) and contributes to energy saving …

Computation efficiency maximization for wireless-powered mobile edge computing

F Zhou, H Sun, Z Chu, RQ Hu - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
Energy-efficient computation is an inevitable trend for mobile edge computing (MEC)
networks. However, resource allocation strategies for maximizing the computation efficiency …

Computation offloading in heterogeneous mobile edge computing with energy harvesting

T Zhang, W Chen - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
Energy harvesting aided mobile edge computing (MEC) has gained much attention for its
widespread application in the computation-intensive, latency-sensitive and energy-hungry …

Residual energy maximization for wireless powered mobile edge computing systems with mixed-offloading

M Wu, W Qi, J Park, P Lin, L Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper studies a joint design of resource allocation and task offloading in a wireless
powered mobile edge computing network involving different types of computation tasks. To …

Joint resource allocation and trajectory optimization in UAV-enabled wirelessly powered MEC for large area

Y Zeng, S Chen, Y Cui, J Yang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
This article investigates a wirelessly powered mobile edge computing (MEC) framework with
the cooperation between an unmanned aerial vehicle (UAV) and a center Cloud. In this …

Empowering smart cities: High-altitude platforms based Mobile Edge Computing and Wireless Power Transfer for efficient IoT data processing

A Nauman, N Alruwais, E Alabdulkreem, N Nemri… - Internet of Things, 2023 - Elsevier
This work presents an efficient framework that combines High Altitude Platform (HAP)-based
Mobile Edge Computing (MEC) networks with Wireless Power Transfer (WPT) to optimize …