Edge intelligence in Smart Grids: A survey on architectures, offloading models, cyber security measures, and challenges

DN Molokomme, AJ Onumanyi… - Journal of Sensor and …, 2022 - mdpi.com
The rapid development of new information and communication technologies (ICTs) and the
deployment of advanced Internet of Things (IoT)-based devices has led to the study and …

Computation offloading over multi-UAV MEC network: A distributed deep reinforcement learning approach

D Wei, J Ma, L Luo, Y Wang, L He, X Li - Computer Networks, 2021 - Elsevier
Unmanned aerial vehicle (UAV)-assisted computation offloading allows mobile devices
(MDs) to process computation-intensive and latency-sensitive tasks with limited or no …

[HTML][HTML] Scalable edge cloud platforms for IoT services

B Sonkoly, D Haja, B Németh, M Szalay… - Journal of Network and …, 2020 - Elsevier
Nowadays, online applications are moving to the cloud, and for delay-sensitive ones, the
cloud is being extended with edge/fog domains. Emerging cloud platforms that tightly …

A self-learning strategy for task offloading in UAV networks

A Sacco, F Esposito, G Marchetto… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The edge computing paradigm has opened new opportunities for IoT devices, which can be
used in novel applications involving heavy processing of data. Typical and common …

Adaptive task offloading in vehicular edge computing networks: a reinforcement learning based scheme

J Zhang, H Guo, J Liu - Mobile Networks and Applications, 2020 - Springer
In recent years, with the rapid development of Internet of Things (IoTs) and artificial
intelligence, vehicular networks have transformed from simple interactive systems to smart …

Computation offloading for distributed mobile edge computing network: A multiobjective approach

F Sufyan, A Banerjee - IEEE Access, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is emerging as a cornerstone technology to address the
conflict between resource-constrained smart devices (SDs) and the ever-increasing …

Delay minimization for massive MIMO assisted mobile edge computing

M Zeng, W Hao, OA Dobre… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been envisioned as a promising technology for
enhancing the computational capacities of mobile devices, by enabling computational task …

Deep learning-based computer vision for surveillance in its: Evaluation of state-of-the-art methods

J Xie, Y Zheng, R Du, W Xiong, Y Cao… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Intelligent transportation system (ITS) collects numerous data for analysis of the
transportation system. The data can be used for providing services for travellers and traffic …

Fog nodes deployment based on space–time characteristics in smart factory

J Wang, D Li, Y Hu - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
The emergence of fog computing has improved the performance and efficiency of intelligent
manufacturing. In a fog computing platform, fog nodes can provide the distributed and …

FairHealth: Long-term proportional fairness-driven 5G edge healthcare in Internet of medical things

X Lin, J Wu, AK Bashir, W Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, the Internet of Medical Things (IoMT) could offload healthcare services to 5G edge
computing for low latency. However, some existing works assumed altruistic patients will …