Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

Computation offloading in mobile edge computing networks: A survey

C Feng, P Han, X Zhang, B Yang, Y Liu… - Journal of Network and …, 2022 - Elsevier
Computation offloading is one of the key technologies in Mobile Edge Computing (MEC),
which makes up for the deficiencies of mobile devices in terms of storage resource …

Joint multi-task offloading and resource allocation for mobile edge computing systems in satellite IoT

F Chai, Q Zhang, H Yao, X Xin, R Gao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT),
there are dependencies between different tasks, which need to be collected and jointly …

Blockchain for Internet of Things: A survey

HN Dai, Z Zheng, Y Zhang - IEEE internet of things journal, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is reshaping the incumbent industry to smart industry featured with
data-driven decision-making. However, intrinsic features of IoT result in a number of …

Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things

Y Liu, M Peng, G Shou, Y Chen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
To satisfy the increasing demand of mobile data traffic and meet the stringent requirements
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …

Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization

J Bi, H Yuan, S Duanmu, MC Zhou… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Smart mobile devices (SMDs) can meet users' high expectations by executing computational
intensive applications but they only have limited resources, including CPU, memory, battery …

Latency minimization for intelligent reflecting surface aided mobile edge computing

T Bai, C Pan, Y Deng, M Elkashlan… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Computation off-loading in mobile edge computing (MEC) systems constitutes an efficient
paradigm of supporting resource-intensive applications on mobile devices. However, the …

Vehicular edge computing and networking: A survey

L Liu, C Chen, Q Pei, S Maharjan, Y Zhang - Mobile networks and …, 2021 - Springer
As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network
(VANET) has received remarkable interest from academia and industry. The emerging …

Communication-efficient federated learning and permissioned blockchain for digital twin edge networks

Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Emerging technologies, such as mobile-edge computing (MEC) and next-generation
communications are crucial for enabling rapid development and deployment of the Internet …

Deep reinforcement learning for stochastic computation offloading in digital twin networks

Y Dai, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The rapid development of industrial Internet of Things (IIoT) requires industrial production
towards digitalization to improve network efficiency. Digital Twin is a promising technology to …