Max-min energy balance in wireless-powered hierarchical fog-cloud computing networks

J Liu, K Xiong, DWK Ng, P Fan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper investigates the wireless-powered hierarchical fog-cloud computing networks,
where multiple energy-constrained users harvest energy from a hybrid access point (HAP) …

Distributed design of wireless powered fog computing networks with binary computation offloading

H Li, K Xiong, Y Lu, B Gao, P Fan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper investigates a multi-user wireless powered fog computing (FC) network, where
multiple energy-limited wireless sensor devices (WSDs) first harvest energy from a nearby …

Task allocation for energy optimization in fog computing networks with latency constraints

B Kopras, B Bossy, F Idzikowski… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Fog networks offer computing resources of varying capacities at different distances from end
users. A Fog Node (FN) closer to the network edge may have less powerful computing …

Optimal energy efficiency with delay constraints for multi-layer cooperative fog computing networks

TT Vu, DN Nguyen, DT Hoang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
We develop a joint offloading and resource allocation framework for a multi-layer
cooperative fog computing network, aiming to minimize the total energy consumption of …

Maximal energy efficient task scheduling for homogeneous fog networks

Y Yang, K Wang, G Zhang, X Chen… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
In this paper, a comprehensive analytical model that considers circuit, computation,
offloading energy consumptions is developed for accurately evaluating the overall energy …

Energy-efficient cooperative communication and computation for wireless powered mobile-edge computing

S Mao, J Wu, L Liu, D Lan… - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
In this article, we present a wireless powered mobile-edge computing system consisting of a
hybrid access point and multiple cooperative fogs, where the users in each cooperative fog …

Computation offloading strategy in heterogeneous fog computing with energy and delay constraints

M Mukherjee, V Kumar, S Kumar… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In fog computing, end-users can offload the computation-intensive tasks to the fog node in
the proximity. Additionally, the fog nodes also offload these tasks to the cloud and …

Optimal workload allocation in fog-cloud computing toward balanced delay and power consumption

R Deng, R Lu, C Lai, TH Luan… - IEEE internet of things …, 2016 - ieeexplore.ieee.org
Mobile users typically have high demand on localized and location-based information
services. To always retrieve the localized data from the remote cloud, however, tends to be …

Multi-domain resource scheduling for simultaneous wireless computing and power transfer in fog radio access network

J Hu, T Shui, L Xiang, K Yang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Future 6G is deemed to provide Simultaneous Wireless cOmputing and Power Transfer
(SWOPT) services for addressing the shortage of local computation and that of energy at …

Joint optimization of trajectory, task offloading, and CPU control in UAV-assisted wireless powered fog computing networks

K Xiong, Y Liu, L Zhang, B Gao, J Cao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This paper studies a rotary-wing unmanned aerial vehicle (UAV)-assisted wireless powered
fog computing network, where a UAV serves as both a mobile wireless energy source and a …