An energy-efficient networking approach in cloud services for IIoT networks

D Jiang, Y Wang, Z Lv, W Wang… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
We study the problem of the energy-efficient networking in cloud services with
geographically distributed data centers for industrial Internet-of-Things (IIoT) networks …

Data offloading techniques through vehicular ad hoc networks: A survey

H Zhou, H Wang, X Chen, X Li, S Xu - IEEE Access, 2018 - ieeexplore.ieee.org
Recently, for satisfying users' various mobile Internet service requests for data exchange
anytime and anywhere even in their moving vehicles, the generated mobile data traffic has …

Energy-sustainable iot connectivity: Vision, technological enablers, challenges, and future directions

OLA López, OM Rosabal… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Technology solutions must effectively balance economic growth, social equity, and
environmental integrity to achieve a sustainable society. Notably, although the Internet of …

Intelligent reflecting surface assisted MIMO communication system: A review

SN Sur, R Bera - Physical Communication, 2021 - Elsevier
This paper presents a comprehensive literature review on the intelligent reflecting surface
(IRS) assisted multiple input multiple output (MIMO) system. IRS is a new and key enabling …

A survey on green unmanned aerial vehicles‐based fog computing: Challenges and future perspective

A Gupta, SK Gupta - Transactions on Emerging …, 2022 - Wiley Online Library
In the area of unmanned aerial vehicles (UAVs) and the Internet of Things (IoT), enormous
technological advancement has transformed the way we choose to live. UAVs link …

[HTML][HTML] Energy efficient design techniques in next-generation wireless communication networks: emerging trends and future directions

JO Ogbebor, AL Imoize, AAA Atayero - Wireless communications and …, 2020 - hindawi.com
The projected rise in wireless communication traffic has necessitated the advancement of
energy-efficient (EE) techniques for the design of wireless communication systems, given …

SPDTS: a differential privacy-based blockchain scheme for secure power data trading

Z Liu, C Hu, H Xia, T Xiang, B Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Currently, the conventional mode of power data transaction is mediated by Web pages.
Nevertheless, there are challenging issues such as privacy protection, transaction security …

Obstetric imaging diagnostic platform based on cloud computing technology under the background of smart medical big data and deep learning

W Lie, B Jiang, W Zhao - IEEE Access, 2020 - ieeexplore.ieee.org
The deep learning methods in the field of computer vision and big data are becoming more
and more mature. Through the application of big data and deep learning technology, the …

A machine learning-based algorithm for joint scheduling and power control in wireless networks

X Cao, R Ma, L Liu, H Shi, Y Cheng… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Wireless network resource allocation is an important issue for designing Internet of Things
systems. In this paper, we consider the problem of wireless network capacity optimization …

Multi-agent deep reinforcement learning based resource allocation for ultra-reliable low-latency internet of controllable things

Y Xiao, Y Song, J Liu - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
As a promising technology in the 5G era, the artificial intelligence (AI) enabled Internet of
controllable things (IoCT) is expected to be an integral part of heterogeneous networks …