A review of clustering algorithms in VANETs

M Ren, J Zhang, L Khoukhi, H Labiod… - Annals of …, 2021 - Springer
In vehicular ad hoc network (VANET), lots of information should be delivered on a large
scale in a limited time. Meanwhile, vehicles are quite dynamic with high velocities, which …

A survey on clustering techniques for cooperative wireless networks

V Sucasas, A Radwan, H Marques, J Rodriguez… - Ad Hoc Networks, 2016 - Elsevier
Clustering became relevant in the past as a solution for the scalability problems of ad hoc
networking, but, the unsuccessful application of ad hoc solutions to real scenarios, such as …

VWCA: An efficient clustering algorithm in vehicular ad hoc networks

A Daeinabi, AGP Rahbar, A Khademzadeh - Journal of Network and …, 2011 - Elsevier
Vehicular ad hoc networks (VANETs) are appropriate networks that can be used in
intelligent transportation systems. Among challenges in VANET, scalability is a critical issue …

Survey of clustering algorithms for MANET

R Agarwal, DM Motwani - arXiv preprint arXiv:0912.2303, 2009 - arxiv.org
Many clustering schemes have been proposed for ad hoc networks. A systematic
classification of these clustering schemes enables one to better understand and make …

Position based routing protocols in VANET: a survey

S Kumar, AK Verma - Wireless Personal Communications, 2015 - Springer
In this review article we are presenting a survey on position based routing protocols. We
have classified systematically the different protocols into two categories, the infrastructure …

An adaptive vehicle clustering algorithm based on power minimization in vehicular ad-hoc networks

H Zhao, J Tang, B Adebisi, T Ohtsuki… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we propose an adaptive vehicle clustering algorithm based on fuzzy C-means
algorithm, which aims at minimizing power consumption of the vehicles. Specifically, the …

Neat: Road network aware trajectory clustering

B Han, L Liu, E Omiecinski - 2012 IEEE 32nd International …, 2012 - ieeexplore.ieee.org
Mining trajectory data has been gaining significant interest in recent years. However,
existing approaches to trajectory clustering are mainly based on density and Euclidean …

Cluster selection for load balancing in flying ad hoc networks using an optimal low-energy adaptive clustering hierarchy based on optimization approach

SS Sefati, S Halunga, RZ Farkhady - Aircraft Engineering and …, 2022 - emerald.com
Purpose Flying ad hoc networks (FANETs) have a major effect in various areas such as civil
projects and smart cities. The facilities of installation and low cost of unmanned aerial …

Road-network aware trajectory clustering: Integrating locality, flow, and density

B Han, L Liu, E Omiecinski - IEEE Transactions on Mobile …, 2013 - ieeexplore.ieee.org
Mining trajectory data has been gaining significant interest in recent years. However,
existing approaches to trajectory clustering are mainly based on density and Euclidean …

Measuring diversity in heterogeneous information networks

PR Morales, R Lamarche-Perrin… - Theoretical computer …, 2021 - Elsevier
Diversity is a concept relevant to numerous domains of research varying from ecology, to
information theory, and to economics, to cite a few. It is a notion that is steadily gaining …