Cooperative offloading and resource management for UAV-enabled mobile edge computing in power IoT system

Y Liu, S Xie, Y Zhang - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
The lack of the computation services in remote areas motivates power Internet of Things
(IoT) to apply unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) …

Resource allocation and service provisioning in multi-agent cloud robotics: A comprehensive survey

M Afrin, J Jin, A Rahman, A Rahman… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Robotic applications nowadays are widely adopted to enhance operational automation and
performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0 …

A joint service migration and mobility optimization approach for vehicular edge computing

Q Yuan, J Li, H Zhou, T Lin, G Luo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The vehicular edge computing is considered an enabling technology for intelligent and
connected vehicles since the optimization of communication and computing on edge has a …

Fault tolerant control for dynamic positioning of unmanned marine vehicles based on TS fuzzy model with unknown membership functions

LY Hao, H Zhang, TS Li, B Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper proposes a novel fault tolerant control strategy for dynamic positioning of
unmanned marine vehicles using the quantized feedback sliding mode control technique …

Mobility-aware multi-user offloading optimization for mobile edge computing

W Zhan, C Luo, G Min, C Wang, Q Zhu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a new computing paradigm with great potential to
enhance the performance of user equipment (UE) by offloading resource-hungry …

Survey on placement methods in the edge and beyond

B Sonkoly, J Czentye, M Szalay… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Edge computing is a (r) evolutionary extension of traditional cloud computing. It expands
central cloud infrastructure with execution environments close to the users in terms of …

Computation offloading in multi-access edge computing: A multi-task learning approach

B Yang, X Cao, J Bassey, X Li… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has already shown great potential in enabling mobile
devices to bear the computation-intensive applications by offloading some computing jobs to …

Machine learning meets communication networks: Current trends and future challenges

I Ahmad, S Shahabuddin, H Malik, E Harjula… - IEEE …, 2020 - ieeexplore.ieee.org
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

Wireless powered mobile edge computing networks: A survey

X Wang, J Li, Z Ning, Q Song, L Guo, S Guo… - ACM Computing …, 2023 - dl.acm.org
Wireless Powered Mobile Edge Computing (WPMEC) is an integration of Mobile Edge
Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve …

Distributed machine learning for wireless communication networks: Techniques, architectures, and applications

S Hu, X Chen, W Ni, E Hossain… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Distributed machine learning (DML) techniques, such as federated learning, partitioned
learning, and distributed reinforcement learning, have been increasingly applied to wireless …