Optimization of resource management for nfv-enabled iot systems in edge cloud computing

TM Pham - IEEE Access, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been envisioned as an enabler of the digital transformation
that can enhance different features of people's daily lives, such as healthcare, home …

[Retracted] Application of Internet of Things and Edge Computing Technology in Sports Tourism Services

B Zheng, Z Mei, L Hou, S Qiu - Security and Communication …, 2021 - Wiley Online Library
Aiming at the problems of long retrieval time of sports tourism data, high integration error of
sports tourism data, and high energy consumption of sports tourism service management in …

An efficient lightweight speck technique for edge-IoT-based smart healthcare systems

M AbdulRaheem, ID Oladipo… - 5G IoT and edge …, 2022 - Elsevier
Abstract The Internet of Things (IoT) is an up and coming technology in the field of
information and communication sciences. In the healthcare sector, a sizable number of IoT …

Resource allocation in a relay-aided mobile edge computing system

S Fu, F Zhou, RQ Hu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) provides wireless devices (WDs) more computing capability
and lower latency by allowing them to offload their computation tasks to a nearby more …

On the opportunities and challenges of NOMA-based fog radio access networks: An overview

M Kaneko, I Randrianantenaina, H Dahrouj… - IEEE …, 2020 - ieeexplore.ieee.org
Future generations of wireless networks are expected to provide new services with an
unprecedented level of diverse and stringent requirements. Fog Radio Access Network …

Base Station switching and edge caching optimisation in high energy-efficiency wireless access network

G Vallero, M Deruyck, M Meo, W Joseph - Computer Networks, 2021 - Elsevier
The improvement of the energy efficiency and the reduction of the latency are two of the
main goals of the next generation of Radio Access Networks (RANs). In order to achieve the …

Computing offloading in vehicular edge computing networks: Full or partial offloading?

C Ren, G Zhang, X Gu, Y Li - 2022 IEEE 6th Information …, 2022 - ieeexplore.ieee.org
With the surge of vehicular users and the development of mobile applications, the
management of big data has become a challenge for the Internet of Vehicle (IoV) …

Reliability optimization for channel resource allocation in multihop wireless network: A multigranularity deep reinforcement learning approach

Y Wang, F Shang, J Lei - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
This article investigates the high-reliable data transmission for multihop and multichannel
wireless sensor networks (WSNs), which jointly optimizes the channel allocation and …

Federated edge network utility maximization for a multi-server system: Algorithm and convergence

N Karakoç, A Scaglione, M Reisslein… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
We propose a novel Federated Edge Network Utility Maximization (FEdg-NUM) architecture
for solving a large-scale distributed network utility maximization (NUM) problem. In FEdg …

Applying machine learning techniques for caching in edge networks: A comprehensive survey

J Shuja, K Bilal, W Alasmary, H Sinky… - arXiv preprint arXiv …, 2020 - arxiv.org
Edge networking is a complex and dynamic computing paradigm that aims to push cloud
resources closer to the end user improving responsiveness and reducing backhaul traffic …