Toward enabled industrial verticals in 5G: A survey on MEC-based approaches to provisioning and flexibility

F Spinelli, V Mancuso - IEEE Communications Surveys & …, 2020 - ieeexplore.ieee.org
The increasing number of heterogeneous devices connected to the Internet, together with
tight 5G requirements have generated new challenges for designing network infrastructures …

Scheduling IoT applications in edge and fog computing environments: a taxonomy and future directions

M Goudarzi, M Palaniswami, R Buyya - ACM Computing Surveys, 2022 - dl.acm.org
Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …

Reducing offloading latency for digital twin edge networks in 6G

W Sun, H Zhang, R Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
6G is envisioned to empower wireless communication and computation through the
digitalization and connectivity of everything, by establishing a digital representation of the …

Deep reinforcement learning for collaborative edge computing in vehicular networks

M Li, J Gao, L Zhao, X Shen - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising technology to support mission-critical
vehicular applications, such as intelligent path planning and safety applications. In this …

Mobility-aware computational offloading in mobile edge networks: a survey

SK Zaman, AI Jehangiri, T Maqsood, Z Ahmad… - Cluster …, 2021 - Springer
Technological evolution of mobile devices, such as smart phones, laptops, wearable and
other handheld devices have come up with the emergence of different user applications in …

[HTML][HTML] A survey on wearable technology: History, state-of-the-art and current challenges

A Ometov, V Shubina, L Klus, J Skibińska, S Saafi… - Computer Networks, 2021 - Elsevier
Technology is continually undergoing a constituent development caused by the appearance
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …

LiMPO: Lightweight mobility prediction and offloading framework using machine learning for mobile edge computing

SK Zaman, AI Jehangiri, T Maqsood, N Haq, AI Umar… - Cluster …, 2023 - Springer
Several applications have emerged with the proliferation of mobile devices to provide
communication, learning, social networking, entertainment, and community computing …

5G-enabled UAV-to-community offloading: Joint trajectory design and task scheduling

Z Ning, P Dong, M Wen, X Wang, L Guo… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Due to line-of-sight communication links and distributed deployment, Unmanned Aerial
Vehicles (UAVs) have attracted substantial interest in agile Mobile Edge Computing (MEC) …

Distributed and dynamic service placement in pervasive edge computing networks

Z Ning, P Dong, X Wang, S Wang, X Hu… - … on Parallel and …, 2020 - ieeexplore.ieee.org
The explosive growth of mobile devices promotes the prosperity of novel mobile
applications, which can be realized by service offloading with the assistance of edge …

Multi-cell mobile edge computing: Joint service migration and resource allocation

Z Liang, Y Liu, TM Lok, K Huang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) enhances the capacities and features of mobile devices by
offloading computation-intensive tasks over wireless networks to edge servers. One …