Edge computing in 5G: A review

N Hassan, KLA Yau, C Wu - IEEE Access, 2019 - ieeexplore.ieee.org
5G is the next generation cellular network that aspires to achieve substantial improvement
on quality of service, such as higher throughput and lower latency. Edge computing is an …

Review of Internet of Things (IoT) in electric power and energy systems

G Bedi, GK Venayagamoorthy, R Singh… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
A transformation is underway in electric power and energy systems (EPESs) to provide
clean distributed energy for sustainable global economic growth. Internet of Things (IoT) is at …

Learning IoT in edge: Deep learning for the Internet of Things with edge computing

H Li, K Ota, M Dong - IEEE network, 2018 - ieeexplore.ieee.org
Deep learning is a promising approach for extracting accurate information from raw sensor
data from IoT devices deployed in complex environments. Because of its multilayer structure …

Ultra-low latency (ULL) networks: The IEEE TSN and IETF DetNet standards and related 5G ULL research

A Nasrallah, AS Thyagaturu, Z Alharbi… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Many network applications, eg, industrial control, demand ultra-low latency (ULL). However,
traditional packet networks can only reduce the end-to-end latencies to the order of tens of …

Hybrid SDN networks: A survey of existing approaches

R Amin, M Reisslein, N Shah - IEEE Communications Surveys …, 2018 - ieeexplore.ieee.org
Software defined networking (SDN) decouples the control plane from the data plane of
forwarding devices. This separation provides several benefits, including the simplification of …

[HTML][HTML] A comprehensive review of energy harvesting and routing strategies for IoT sensors sustainability and communication technology

HNS Aldin, MR Ghods, F Nayebipour, MN Torshiz - Sensors International, 2024 - Elsevier
The effectiveness and dependability of network communication within the Internet of Things
(IoT) depends on the energy-harvesting capabilities of IoT sensors. It is imperative to …

Collaborative computation offloading for multiaccess edge computing over fiber–wireless networks

H Guo, J Liu - IEEE Transactions on Vehicular Technology, 2018 - ieeexplore.ieee.org
By offloading the computation tasks of the mobile devices (MDs) to the edge server, mobile-
edge computing (MEC) provides a new paradigm to meet the increasing computation …

A survey on network methodologies for real-time analytics of massive IoT data and open research issues

S Verma, Y Kawamoto, ZM Fadlullah… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
With the widespread adoption of the Internet of Things (IoT), the number of connected
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …

Mobile-edge computation offloading for ultradense IoT networks

H Guo, J Liu, J Zhang, W Sun… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The emergence of massive Internet of Things (IoT) mobile devices (MDs) and the
deployment of ultradense 5G cells have promoted the evolution of IoT toward ultradense IoT …

Software defined optical networks (SDONs): A comprehensive survey

AS Thyagaturu, A Mercian, MP McGarry… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
The emerging software defined networking (SDN) paradigm separates the data plane from
the control plane and centralizes network control in an SDN controller. Applications interact …