2016
DOI: 10.15866/irecos.v11i6.9328
|View full text |Cite
|
Sign up to set email alerts
|

Clustering in Vehicular Ad-Hoc Network Using Artificial Neural Network

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
6
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
4
2

Relationship

1
5

Authors

Journals

citations
Cited by 9 publications
(6 citation statements)
references
References 0 publications
0
6
0
Order By: Relevance
“…Hence, developing a stable of cluster structure and efficient routing in VANETs are interesting challenges (Marzak et al). 4 Also, reducing bandwidth and delay are other challenges in VANETs. Therefore, researchers have proposed many techniques for clustering algorithms which can fulfill these requirements (Marzak et al).…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…Hence, developing a stable of cluster structure and efficient routing in VANETs are interesting challenges (Marzak et al). 4 Also, reducing bandwidth and delay are other challenges in VANETs. Therefore, researchers have proposed many techniques for clustering algorithms which can fulfill these requirements (Marzak et al).…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, researchers have proposed many techniques for clustering algorithms which can fulfill these requirements (Marzak et al). 4 To solve these problems, we propose an algorithm that selects cluster head (CH) in a distributed and dynamic way in order to organize network into clusters in a short period of time. The aim of the proposed approach is to create a stable clustering architecture with end-to-end delay reduction.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…The author Bouchra Marzak proposed a novel clustering algorithm [29] based on mobility and reliability of vehicles for VANET, from which clusters use an artificial neural network system (ANN) in a distributed manner.…”
Section: Research Articlementioning
confidence: 99%