A review of Internet of Things—Resource allocation

X Li, L Da Xu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
As one of emerging technologies, Internet of Things (IoT) has become popular. This article
reviews the literature regarding resource allocation (RA) of the Internet of Things …

Resource allocation trends for ultra dense networks in 5G and beyond networks: A classification and comprehensive survey

N Sharma, K Kumar - Physical Communication, 2021 - Elsevier
With an exaggerating upsurge in mobile data traffic, the wireless networks are confronted
with a subtle task of enhancing their network capacity. The shortage of spectrum resources …

[HTML][HTML] A new technology perspective of the Metaverse: Its essence, framework and challenges

F Shi, H Ning, X Zhang, R Li, Q Tian, S Zhang… - Digital Communications …, 2023 - Elsevier
The Metaverse depicts a parallel digitalized world where virtuality and reality are fused. It
has economic and social systems like those in the real world and provides intelligent …

Learning-based privacy-aware offloading for healthcare IoT with energy harvesting

M Min, X Wan, L Xiao, Y Chen, M Xia… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Mobile edge computing helps healthcare Internet of Things (IoT) devices with energy
harvesting provide satisfactory quality of experiences for computation intensive applications …

Fog-based computing and storage offloading for data synchronization in IoT

T Wang, J Zhou, A Liu, MZA Bhuiyan… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
With the development of Internet of Things (IoT) technologies, increasingly many devices are
connected, and large amounts of data are produced. By offloading the computing-intensive …

A novel and secure attacks detection framework for smart cities industrial internet of things

KN Qureshi, SS Rana, A Ahmed, G Jeon - Sustainable Cities and Society, 2020 - Elsevier
New trend of smart cities has changed the life with more equipped and integrated systems.
Various new technologies have adopted for sustainable and improved smart cities …

FEMTO: Fair and energy-minimized task offloading for fog-enabled IoT networks

G Zhang, F Shen, Z Liu, Y Yang… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Future Internet of Things (IoT) networks enabled with fog computing is promising to achieve
lower processing delay and lighter link burden, by effectively offloading the computing tasks …

Intelligent resource allocation management for vehicles network: An A3C learning approach

M Chen, T Wang, K Ota, M Dong, M Zhao… - Computer Communications, 2020 - Elsevier
With the increasing demand of users for high-speed, low-delay and high-reliability services
in connected vehicles network, wireless networks with communication, caching and …

Dynamic edge computation offloading for Internet of Things with energy harvesting: A learning method

Z Wei, B Zhao, J Su, X Lu - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) has recently emerged as a promising paradigm to meet the
increasing computation demands in Internet of Things (IoT). However, due to the limited …

Revenue-optimal task scheduling and resource management for IoT batch jobs in mobile edge computing

J Huang, S Li, Y Chen - Peer-to-Peer Networking and Applications, 2020 - Springer
With the growing prevalence of Internet of Things (IoT) devices and technology, a
burgeoning computing paradigm namely mobile edge computing (MEC) is delicately …