K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

AM Ikotun, AE Ezugwu, L Abualigah, B Abuhaija… - Information …, 2023 - Elsevier
Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …

A comprehensive survey on clustering in vehicular networks: Current solutions and future challenges

M Ayyub, A Oracevic, R Hussain, AA Khan, Z Zhang - Ad Hoc Networks, 2022 - Elsevier
Vehicular networks are on the verge of deployment, thanks to the advancements in
computation and communication technologies. This breed of ad hoc networks leverages …

Optimized node clustering in VANETs by using meta-heuristic algorithms

W Ahsan, MF Khan, F Aadil, M Maqsood, S Ashraf… - Electronics, 2020 - mdpi.com
In a vehicular ad-hoc network (VANET), the vehicles are the nodes, and these nodes
communicate with each other. On the road, vehicles are continuously in motion, and it …

An intelligent cluster-based routing scheme in 5G flying ad hoc networks

MF Khan, KLA Yau, MH Ling, MA Imran, YW Chong - Applied Sciences, 2022 - mdpi.com
Flying ad hoc network (FANET) is an application of 5G access network, which consists of
unmanned aerial vehicles or flying nodes with scarce resources and high mobility rates. This …

[HTML][HTML] A Q-learning-based smart clustering routing method in flying Ad Hoc networks

M Hosseinzadeh, J Tanveer, AM Rahmani… - Journal of King Saud …, 2024 - Elsevier
Flying ad hoc networks (FANETs) have particular importance in various military and civilian
applications due to their specific features, including frequent topological changes, the …

SAMNET: Self-adaptative multi-kernel clustering algorithm for urban VANETs

L Sellami, B Alaya - Vehicular Communications, 2021 - Elsevier
Nowadays, vehicle ad hoc networks (VANET) are becoming one of the trends that motivate
many service providers in urban areas. In this work, we take into account the random and …

Adaptive node clustering for underwater sensor networks

MF Khan, M Bibi, F Aadil, JW Lee - Sensors, 2021 - mdpi.com
Monitoring of an underwater environment and communication is essential for many
applications, such as sea habitat monitoring, offshore investigation and mineral exploration …

Applications of multi-agent deep reinforcement learning: Models and algorithms

AM Ibrahim, KLA Yau, YW Chong, C Wu - Applied Sciences, 2021 - mdpi.com
Recent advancements in deep reinforcement learning (DRL) have led to its application in
multi-agent scenarios to solve complex real-world problems, such as network resource …

An intelligent clustering-based routing protocol (crp-gr) for 5g-based smart healthcare using game theory and reinforcement learning

A Ahad, M Tahir, MA Sheikh, KI Ahmed, A Mughees - Applied Sciences, 2021 - mdpi.com
With advantages such as short and long transmission ranges, D2D communication, low
latency, and high node density, the 5G communication standard is a strong contender for …

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 …