A review of 6G autonomous intelligent transportation systems: Mechanisms, applications and challenges

X Deng, L Wang, J Gui, P Jiang, X Chen, F Zeng… - Journal of Systems …, 2023 - Elsevier
Thanks to the explosive evolution of 6G, Artificial intelligence, Blockchain, Cloud computing,
Data, and Edge computing (6G+ ABCDE), it is possible to make Intelligent Transportation …

[HTML][HTML] Spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet-of-things networks

X Fernando, G Lăzăroiu - Sensors, 2023 - mdpi.com
The aim of this systematic review was to identify the correlations between spectrum sensing,
clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet …

A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era

MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …

A HYBRID MODEL USING GENETIC ALGORITHM FOR ENERGY OPTIMIZATION IN HETEROGENEOUS INTERNET OF BLOCKCHAIN THINGS

RM Babu, KP Satamraju, BN Gangothri… - Telecommunications …, 2024 - dl.begellhouse.com
ABSTRACT The Internet of Things (IoT) is a promising technology inspiring industries and
the public alike with its broad spectrum of applications adding intelligence to real-life …

Classification and regression tree (CART) based resource allocation scheme for wireless sensor networks

GS Kori, MS Kakkasageri - Computer Communications, 2023 - Elsevier
The 21st century is the era of smart sensors, intelligent computations, and communication
technologies. Wireless Sensor Networks (WSN) play a vital role in performing many remote …

Context-aware Edge Computing and Internet of Things in Smart Grids: A systematic mapping study

JAS Aranda, R dos Santos Costa, VW de Vargas… - Computers and …, 2022 - Elsevier
Smart Grid (SG) is a relatively new subject in which intelligence comes from computer
systems. Edge Computing (EC) processes data near the SG information source—potentially …

A MOEA/D with global and local cooperative optimization for complicated bi-objective optimization problems

Q Wang, Q Gu, L Chen, Y Guo, N Xiong - Applied Soft Computing, 2023 - Elsevier
Multi-objective evolutionary algorithm based on decomposition has been well-recognized in
addressing bi-objective optimization problems. However, it is a serious challenge for …

A distributed dynamical system for optimal resource allocation over state-dependent networks

X Wang, S Yang, Z Guo, M Lian… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This paper focuses on investigating the nonsmooth resource allocation problem based on
distributed dynamical systems over state-dependent communication networks. Taking into …

RLS2: An energy efficient reinforcement learning-based sleep scheduling for energy harvesting WBANs

R Mohammadi, Z Shirmohammadi - Computer Networks, 2023 - Elsevier
Abstract In the Energy-Harvesting Wireless Body Area Networks (EH-WBAN), one of the
fundamental challenges is preserving the self-sustainability of sensors without …

Throughput optimization for noma energy harvesting cognitive radio with multi-UAV-assisted relaying under security constraints

VH Dang, H Tran, TD Ho, C So-In… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This paper investigates the throughput of a non-orthogonal multiple access (NOMA)-based
cognitive radio (CR) system with multiple unmanned aerial vehicle (UAV)-assisted relays …