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A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network

Vehicular ad-hoc network (VANET) is dynamic and it works on various noteworthy applications in intelligent transportation systems (ITS). In general, routing overhead is more in the VANETs due to their properties. Hence, need to handle this issue to improve the performance of the VANETs. Also due to...

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Main Authors: Sami Abduljabbar Rashid, Sami Abduljabbar Rashid, Lukman Audah, Lukman Audah, Mustafa Maad Hamdi, Mustafa Maad Hamdi, Mohammed Ahmed Jubair, Mohammed Ahmed Jubair, Mustafa Hamid Hassan, Mustafa Hamid Hassan, Mohammed Salah Abood, Mohammed Salah Abood, Salama A. Mostafa, Salama A. Mostafa
Format: Article
Language:English
Published: 2023
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/11454/1/J15915_295ab55964ee1e698592482cfc0eb56c.pdf
http://eprints.uthm.edu.my/11454/
https://doi.org/10.11591/ijai.v12.i2.pp667-677
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spelling my.uthm.eprints.114542024-08-01T02:58:16Z http://eprints.uthm.edu.my/11454/ A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network Sami Abduljabbar Rashid, Sami Abduljabbar Rashid Lukman Audah, Lukman Audah Mustafa Maad Hamdi, Mustafa Maad Hamdi Mohammed Ahmed Jubair, Mohammed Ahmed Jubair Mustafa Hamid Hassan, Mustafa Hamid Hassan Mohammed Salah Abood, Mohammed Salah Abood Salama A. Mostafa, Salama A. Mostafa T Technology (General) Vehicular ad-hoc network (VANET) is dynamic and it works on various noteworthy applications in intelligent transportation systems (ITS). In general, routing overhead is more in the VANETs due to their properties. Hence, need to handle this issue to improve the performance of the VANETs. Also due to its dynamic nature collision occurs. Up till now, we have had immense complexity in developing the multi-constrained network with high quality of forwarding (QoF). To solve the difficulties especially to control the congestion this paper introduces an enhanced genetic algorithmbased lion optimization for QoF-based routing protocol (EGA-LOQRP) in the VANET network. Lion optimization routing protocol (LORP) is an optimization-based routing protocol that can able to control the network with a huge number of vehicles. An enhanced genetic algorithm (EGA) is employed here to find the best possible path for data transmission which leads to meeting the QoF. This will result in low packet loss, delay, and energy consumption of the network. The exhaustive simulation tests demonstrate that the EGA-LOQRP routing protocol improves performance effectively in the face of congestion and QoS assaults compared to the previous routing protocols like Ad hoc on-demand distance vector (AODV), ant colony optimization-AODV (ACO-AODV) and traffic aware segmentAODV (TAS-AODV). 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/11454/1/J15915_295ab55964ee1e698592482cfc0eb56c.pdf Sami Abduljabbar Rashid, Sami Abduljabbar Rashid and Lukman Audah, Lukman Audah and Mustafa Maad Hamdi, Mustafa Maad Hamdi and Mohammed Ahmed Jubair, Mohammed Ahmed Jubair and Mustafa Hamid Hassan, Mustafa Hamid Hassan and Mohammed Salah Abood, Mohammed Salah Abood and Salama A. Mostafa, Salama A. Mostafa (2023) A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network. IAES International Journal of Artificial Intelligence, 12 (2). pp. 667-677. ISSN 2252-8938 https://doi.org/10.11591/ijai.v12.i2.pp667-677
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Sami Abduljabbar Rashid, Sami Abduljabbar Rashid
Lukman Audah, Lukman Audah
Mustafa Maad Hamdi, Mustafa Maad Hamdi
Mohammed Ahmed Jubair, Mohammed Ahmed Jubair
Mustafa Hamid Hassan, Mustafa Hamid Hassan
Mohammed Salah Abood, Mohammed Salah Abood
Salama A. Mostafa, Salama A. Mostafa
A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
description Vehicular ad-hoc network (VANET) is dynamic and it works on various noteworthy applications in intelligent transportation systems (ITS). In general, routing overhead is more in the VANETs due to their properties. Hence, need to handle this issue to improve the performance of the VANETs. Also due to its dynamic nature collision occurs. Up till now, we have had immense complexity in developing the multi-constrained network with high quality of forwarding (QoF). To solve the difficulties especially to control the congestion this paper introduces an enhanced genetic algorithmbased lion optimization for QoF-based routing protocol (EGA-LOQRP) in the VANET network. Lion optimization routing protocol (LORP) is an optimization-based routing protocol that can able to control the network with a huge number of vehicles. An enhanced genetic algorithm (EGA) is employed here to find the best possible path for data transmission which leads to meeting the QoF. This will result in low packet loss, delay, and energy consumption of the network. The exhaustive simulation tests demonstrate that the EGA-LOQRP routing protocol improves performance effectively in the face of congestion and QoS assaults compared to the previous routing protocols like Ad hoc on-demand distance vector (AODV), ant colony optimization-AODV (ACO-AODV) and traffic aware segmentAODV (TAS-AODV).
format Article
author Sami Abduljabbar Rashid, Sami Abduljabbar Rashid
Lukman Audah, Lukman Audah
Mustafa Maad Hamdi, Mustafa Maad Hamdi
Mohammed Ahmed Jubair, Mohammed Ahmed Jubair
Mustafa Hamid Hassan, Mustafa Hamid Hassan
Mohammed Salah Abood, Mohammed Salah Abood
Salama A. Mostafa, Salama A. Mostafa
author_facet Sami Abduljabbar Rashid, Sami Abduljabbar Rashid
Lukman Audah, Lukman Audah
Mustafa Maad Hamdi, Mustafa Maad Hamdi
Mohammed Ahmed Jubair, Mohammed Ahmed Jubair
Mustafa Hamid Hassan, Mustafa Hamid Hassan
Mohammed Salah Abood, Mohammed Salah Abood
Salama A. Mostafa, Salama A. Mostafa
author_sort Sami Abduljabbar Rashid, Sami Abduljabbar Rashid
title A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
title_short A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
title_full A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
title_fullStr A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
title_full_unstemmed A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
title_sort collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
publishDate 2023
url http://eprints.uthm.edu.my/11454/1/J15915_295ab55964ee1e698592482cfc0eb56c.pdf
http://eprints.uthm.edu.my/11454/
https://doi.org/10.11591/ijai.v12.i2.pp667-677
_version_ 1806690929729339392
score 13.211869

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