Survey and taxonomy of clustering algorithms in 5G

MF Khan, KLA Yau, RMD Noor, MA Imran - Journal of Network and …, 2020 - Elsevier
The large-scale deployment of fifth generation (5G) is expected to produce a massive
amount of data with high variability due to ultra-densification and the rapid increase in a …

Clustering based physical-layer authentication in edge computing systems with asymmetric resources

Y Chen, H Wen, J Wu, H Song, A Xu, Y Jiang, T Zhang… - Sensors, 2019 - mdpi.com
In this paper, we propose a clustering based physical-layer authentication scheme (CPAS)
to overcome the drawback of traditional cipher-based authentication schemes that suffer …

Intelligent cognitive radio ad-hoc network: Planning, learning and dynamic configuration

KE Lee, JG Park, SJ Yoo - Electronics, 2021 - mdpi.com
Cognitive radio (CR) is an adaptive radio technology that can automatically detect available
channels in a wireless spectrum and change transmission parameters to improve the radio …

Unsupervised clustering for 5G network planning assisted by real data

MU Khan, M Azizi, A García-Armada… - IEEE …, 2022 - ieeexplore.ieee.org
The fifth-generation (5G) of networks is being deployed to provide a wide range of new
services and to manage the accelerated traffic load of the existing networks. In the present …

OCSR: Overlapped Cluster‐Based Scalable Routing Approach for Vehicular Ad Hoc Networks (VANETs)

PK Pandey, V Kansal, A Swaroop - … and Mobile Computing, 2022 - Wiley Online Library
Vehicular ad hoc networks (VANETs) are eminent class of mobile ad hoc networks due to
their applications. However, mobility management and network scalability are still …

A game theory based clustering protocol to support multicast routing in cognitive radio mobile ad hoc networks

TN Tran, TV Nguyen, K Shim, B An - IEEE Access, 2020 - ieeexplore.ieee.org
The frequent movement of nodes in cognitive radio mobile ad hoc networks (CRAHNs)
causes challenges in scalability, stability, channel sensing and channel access problems …

Ions motion optimization-based clustering routing protocol for cognitive radio sensor network

J Wang, S Li, Y Ge - IEEE Access, 2020 - ieeexplore.ieee.org
Cognitive radio sensor network (CRSN) is an intelligent and reasonable combination of
cognitive radio and wireless sensor networks. Clustering is an effective method to manage …

RL-Budget: A learning-based cluster size adjustment scheme for cognitive radio networks

Z Javed, KLA Yau, H Mohamad, N Ramli, J Qadir… - IEEE …, 2017 - ieeexplore.ieee.org
Cognitive radio (CR) enables unlicensed users to sense for and access underutilized
licensed channels (or white spaces) owned by the licensed users in an opportunistic …

A novel 2D clustering algorithm based on recursive topological data structure

I Osuna-Galán, Y Pérez-Pimentel, C Aviles-Cruz - Symmetry, 2022 - mdpi.com
In the field of data science and data mining, the problem associated with clustering features
and determining its optimum number is still under research consideration. This paper …

PKI-SMR: PKI based secure multipath routing for unmanned military vehicles (UMV) in VANETs

PK Pandey, V Kansal, A Swaroop - Wireless Networks, 2024 - Springer
Vehicular ad hoc networks (VANETs) are widely used in several Internet of Things (IoT)
scenarios due to their unique characteristics which include quick and infrastructure less …