Self-Adaptive Efficient Dynamic Multi-Hop Clustering (SA-EDMC) Approach for Improving VANET’s Performance

Dublin Core

Title

Self-Adaptive Efficient Dynamic Multi-Hop Clustering (SA-EDMC) Approach for Improving VANET’s Performance

Subject

ITS
Traffic Safety
Multi-hop Clustering
Dynamic Clustering
Quality of Service
VANETs

Description

Vehicular ad hoc networks (VANETs) are mainly used in the intelligent transportation field for smart applications. VANETS received maximum concentration among the researchers in academic research. Providing traffic safety at the time of high mobility in the network is the major issue. Also, it consists of few general issues namely self-organization, link failure and speedy variation in topology. In order to address this issue, we developed a novel approach namely, Self-Adaptive Efficient Dynamic Multi-Hop Clustering (SA-EDMC) approach which is designed to reduce the delay and energy consumption in the VANETs that leads to increase the efficiency and overall Quality of Service (QoS) of the network. This approach is composed into four parts (1) network construction, (2) prime cluster head selection, (3) dynamic prime CH selection and (4) gateway creation. Network simulator is utilized to demonstrate the behavior of our SA-EDMC approach. The simulation evaluation exhibits that our proposed work achieved high packet delivery ratio, low delay and high throughput when compared with earlier research outputs like MCA-V2I and QMM-VANET. The comparative analysis expressed that performance of the proposed SA-EDMC is ~5% increase in packet delivery ratio, produced 300 to 500 kbps extra throughput compared with the earlier methods and delay is comparatively low.

Creator

Hashim Abbas, Ali
Shakir Mansour , Hassnen
Hamza Al-Fatlawi, Aqeel

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 14 (2022); pp. 136-151
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2022-07-26

Rights

Copyright (c) 2022 Ali Abbas, MsC. Hassnen Shakir Mansour , Aqeel Hamza Al-fatlawi
https://creativecommons.org/licenses/by/4.0

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Hashim Abbas, Ali, Shakir Mansour , Hassnen and Hamza Al-Fatlawi, Aqeel, Self-Adaptive Efficient Dynamic Multi-Hop Clustering (SA-EDMC) Approach for Improving VANET’s Performance, International Association of Online Engineering (IAOE), Vienna, Austria, 2022, accessed November 7, 2024, https://igi.indrastra.com/items/show/2312

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