Clustering in Vehicular Ad-Hoc Network Using Artificial Neural Network

Marzak, Bouchra; Guemmat, Kamal El; Benlahmar, El Habib; Talea, Mohamed

doi:10.15866/irecos.v11i6.9328

Cited by 9 publications

(6 citation statements)

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“…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%

“…However, frequent changes in the cluster can adversely affect the performance and result in excessive control overheads and prolong network convergence time. Hence, developing a stable of cluster structure and efficient routing in VANETs are interesting challenges (Marzak et al) . Also, reducing bandwidth and delay are other challenges in VANETs.…”

Section: Introductionmentioning

confidence: 99%

“…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) . 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.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Stable routing protocol based on fuzzy logic system in vehicular ad hoc networks

Marzak

Moumni

Benlahmar

et al. 2018

Int J Communication

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Summary Vehicular ad‐hoc networks have several roles in alert messages dissemination between vehicles in danger, the most important role is to provide helpful information for drivers (eg, road traffic state). But, some performance improvements are frequently needed in terms of routing. Hence, several clustering approaches have been proposed to optimize the network services. These approaches are based on increasing data delivery, reducing data congestion, and dividing the traffic into clusters. However, a stable clustering algorithm is always required in order to ensure the data dissemination in a dense, mobile, or a large‐scale environment. Therefore, in this paper, we have proposed a stable routing protocol based on the fuzzy logic system, which can deliver alert messages with minimum delay and improve the stability of clusters structure by generating only a small number of clusters in the network. In this work, the fuzzy logic system has been used to create the clusters and select a cluster head for each cluster. We have used the network simulator (NS2) to generate the results. As a result, we could reduce the cluster head changes and increase the cluster member lifetime compared with recent approaches.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stable routing protocol based on fuzzy logic system in vehicular ad hoc networks

Marzak

Moumni

Benlahmar

et al. 2018

Int J Communication

Self Cite

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“…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%

A Novel Application based Generic Cluster Creation Mechanism in Ad Hoc Networks

Thirumurugan¹,

Gnanadurai²

2017

ijcna

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-The wired mode of communication will no longer serve the purpose of our present scenario network where the expectations in communications system have been skyrocketed. Thus, wireless network with ad hoc nature will suit the present and forthcoming real world applications. This ad hoc wireless network will bind the entire globe and will reign the communication system tomorrow. But, ad hoc network has been limited by the growth factor. In order to address this issue, the clustering mechanism has been incorporated into this ad hoc network to get better results in terms of the network functionality. The ad hoc network efficiency has been improved when the clusters have been devised properly. There are various parameters which identify the efficacy level of clusters in networks. Existing cluster formation algorithms give more weight to any one of the parameters (degree, distance, energy, mobility) when selecting the cluster head of the cluster. This selection of parameters should be corresponding to the application to which the clusters are devised and cluster heads are selected. There is a desperate need for identifying the appropriate cluster head based on the importance given to parameters at various scenarios. Thus, this paper proposes NNPAC (Neural Network based Partitioning Around Cluster head), a generic method of cluster head election to fit for different applications. Implementation of this work has been carried out with the help of MATLAB simulator.

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