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252289

Performance Prediction for AODV, AOMDV, and hybrid protocols in the high-Density Networks

Article

Last updated: 23 Jan 2023

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Abstract

Today, the intelligent transportation system (ITS) plays an important role in smart cities to decrease overpopulation problems, traffic congestion, free passage of emergency vehicles, and unseen obstacles. ITS allows 
communication between vehicles which leads to the efficient and reliable routing protocol for what is called Vehicular 
Ad-Hoc Network (VANET). In this paper, the performance of the Ad-hoc on-demand Distance Vector (AODV), Adhoc on-demand Multipath Distance Vector (AOMDV), and hybrid protocols have been analysed based on different 
network densities. Then their prediction are measured in the high-density areas using linear regression techniques with 
performance parameters of Packet Delivery Ratio (PDR), Normalized Routing Load (NRL), Average End-to-End 
delay (AE2ED), and Average Throughput (ATP). The results show that when using AODV and AOMDV together as 
hybrid protocol in the same environment with a number of nodes greater than 200 nodes, the PDR, NRL, and ATP are 
better than AODV and AOMDV separately. The PDR and ATP decrease when the network density increases, and vice 
versa with NRL and AE2ED. The performance parameters results are implemented in MATLAB version R2019b (9.7) 
to visualize the graphs.

DOI

10.21608/erjsh.2022.252289

Keywords

VANET, Normalized routing Load, Throughput, Average End-to-End Delay, high-density network

Authors

First Name

Ayman

Last Name

Al-Ahwal

MiddleName

Mohamed

Affiliation

Dept. of Communication and Electronics, Pyramids Higher Institute for Engineering and Technology, Egypt

Email

dr.ayman.hiet@gmail.com

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Volume

51

Article Issue

3

Related Issue

33920

Issue Date

2022-07-01

Receive Date

2022-07-31

Publish Date

2022-07-01

Page Start

152

Page End

162

Print ISSN

1687-1340

Link

https://erjsh.journals.ekb.eg/article_252289.html

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https://erjsh.journals.ekb.eg/service?article_code=252289

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252,289

Type

Research articles

Type Code

2,276

Publication Type

Journal

Publication Title

Engineering Research Journal - Faculty of Engineering (Shoubra)

Publication Link

https://erjsh.journals.ekb.eg/

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Article

Created At

23 Jan 2023