Air-ground integrated mobile edge networks: Architecture, challenges, and opportunities

N Cheng, W Xu, W Shi, Y Zhou, N Lu… - IEEE …, 2018 - ieeexplore.ieee.org
The ever increasing mobile data demands have posed significant challenges in the current
radio access networks, while the emerging computation-heavy Internet of Things …

Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions

MY Akhlaqi, ZBM Hanapi - Journal of Network and Computer Applications, 2023 - Elsevier
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …

Deep learning for smart industry: Efficient manufacture inspection system with fog computing

L Li, K Ota, M Dong - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
With the rapid development of Internet of things devices and network infrastructure, there
have been a lot of sensors adopted in the industrial productions, resulting in a large size of …

A survey of edge computing-based designs for IoT security

K Sha, TA Yang, W Wei, S Davari - Digital Communications and Networks, 2020 - Elsevier
Pervasive IoT applications enable us to perceive, analyze, control, and optimize the
traditional physical systems. Recently, security breaches in many IoT applications have …

Profit-maximized collaborative computation offloading and resource allocation in distributed cloud and edge computing systems

H Yuan, MC Zhou - IEEE Transactions on Automation Science …, 2020 - ieeexplore.ieee.org
Edge computing is a new architecture to provide computing, storage, and networking
resources for achieving the Internet of Things. It brings computation to the network edge in …

Computation efficiency maximization in wireless-powered mobile edge computing networks

F Zhou, RQ Hu - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
Energy-efficient computation is an inevitable trend for mobile edge computing (MEC)
networks. Resource allocation strategies for maximizing the computation efficiency are …

Efficient and secure multi-user multi-task computation offloading for mobile-edge computing in mobile IoT networks

IA Elgendy, WZ Zhang, Y Zeng, H He… - … on Network and …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a new paradigm to alleviate resource limitations of mobile
IoT networks through computation offloading with low latency. This article presents an …

Toward computation offloading in edge computing: A survey

C Jiang, X Cheng, H Gao, X Zhou, J Wan - IEEE Access, 2019 - ieeexplore.ieee.org
The explosive growth of massive data generation from Internet of Things in industrial,
agricultural and scientific communities has led to a rapid increase for data analytics in cloud …

Adaptive resource allocation in future wireless networks with blockchain and mobile edge computing

F Guo, FR Yu, H Zhang, H Ji, M Liu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we present a blockchain-based mobile edge computing (B-MEC) framework
for adaptive resource allocation and computation offloading in future wireless networks …

Efficient mobility-aware task offloading for vehicular edge computing networks

C Yang, Y Liu, X Chen, W Zhong, S Xie - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicular networks are facing the challenges to support ubiquitous connections and high
quality of service for numerous vehicles. To address these issues, mobile edge computing …