A Review of blockchain technology in knowledge-defined networking, its application, benefits, and challenges

PADSN Wijesekara, S Gunawardena - Network, 2023 - mdpi.com
Knowledge-Defined Networking (KDN) necessarily consists of a knowledge plane for the
generation of knowledge, typically using machine learning techniques, and the …

A Review on Deploying Blockchain Technology for Network Mobility Management

PADSN Wijesekara - … on Electrical Engineering and Computer Science, 2024 - iteecs.com
In wireless mobile networks, Mobility Management (MM) is a critical aspect that involves
different tasks such as handover management, location management, offloading, resource …

Communication architecture and operations for SDR-enabled UAVs network in disaster-stressed areas

R Rukaiya, SA Khan, MU Farooq, I Matloob - Ad Hoc Networks, 2024 - Elsevier
The article presents a collaboration and communication architecture for disaster stressed
areas where communication losses restrain disaster response and perplex rescue …

Resources Scheduling for Ambient Backscatter Communication-Based Intelligent IIoT: A Collective Deep Reinforcement Learning Method

Y Huang, M Li, FR Yu, P Si, H Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The rise of edge intelligence is driving a shift in the focus of complexity computing to the
edge. Due to network and communication constraints, traditional edge computing resource …

A survey on securing 6g wireless communications based optimization techniques

AK Abasi, M Aloqaily, B Ouni, M Guizani… - 2023 International …, 2023 - ieeexplore.ieee.org
The increasing number of applications and devices in the Sixth-generation (6G) networks
and the diversity of mobile data, architectures, and technologies make security and privacy a …

Trace Pheromone-Based Energy-Efficient UAV Dynamic Coverage Using Deep Reinforcement Learning

X Cheng, R Jiang, H Sang, G Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are widely used in disaster or remote areas to provide
ubiquitous service. Due to the limited energy and communication range of UAVs, and the …

Graph Attention-based Reinforcement Learning for Trajectory Design and Resource Assignment in Multi-UAV Assisted Communication

Z Feng, D Wu, M Huang, C Yuen - arXiv preprint arXiv:2401.17880, 2024 - arxiv.org
In the multiple unmanned aerial vehicle (UAV)-assisted downlink communication, it is
challenging for UAV base stations (UAV BSs) to realize trajectory design and resource …

Balanced-DRL: A DQN-Based Job Allocation Algorithm in BaaS

C Guo, M Xu, S Hu, J Song - Mathematics, 2023 - mdpi.com
Blockchain as a Service (BaaS) combines features of cloud computing and blockchain,
making blockchain applications more convenient and promising. Although current BaaS …

QoS-Aware Resource Allocation Scheme for Improved Transmission in 5G Networks with IOT

S Gowri, S Vimalanand - SN Computer Science, 2024 - Springer
Resource allocation in 5G network is briefly analyzed and a number of schemes are
described in literature which consider the device level interference and bandwidth …

IMAP-QL: an improved multi-agent pursuit path-planning based on Q-learning

MEH Souidi, M Ledmi, TM Maarouk… - … Journal of Systems …, 2024 - inderscienceonline.com
Multi-agent path planning is a complex problem aiming to find the shortest trajectory. In this
paper, we propose a cooperative path planning based on a hybridisation of two motion …