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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: Rashid, Sami Abduljabbar, Audah, Lukman, Hamdi, Mustafa Maad, Jubair, Mohammed Ahmed, Hassan, Mustafa Hamid, Abood, Mohammed Salah, A. Mostafa, Salama
Format: Article
Language:English
Published: 2023
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/9176/1/J15915_295ab55964ee1e698592482cfc0eb56c.pdf
http://eprints.uthm.edu.my/9176/
https://doi.org/10.11591/ijai.v12.i2.pp667-677
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spelling my.uthm.eprints.91762023-07-17T07:32:08Z http://eprints.uthm.edu.my/9176/ A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network Rashid, Sami Abduljabbar Audah, Lukman Hamdi, Mustafa Maad Jubair, Mohammed Ahmed Hassan, Mustafa Hamid Abood, Mohammed Salah A. Mostafa, Salama 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/9176/1/J15915_295ab55964ee1e698592482cfc0eb56c.pdf Rashid, Sami Abduljabbar and Audah, Lukman and Hamdi, Mustafa Maad and Jubair, Mohammed Ahmed and Hassan, Mustafa Hamid and Abood, Mohammed Salah and A. Mostafa, Salama (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. 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)
Rashid, Sami Abduljabbar
Audah, Lukman
Hamdi, Mustafa Maad
Jubair, Mohammed Ahmed
Hassan, Mustafa Hamid
Abood, Mohammed Salah
A. Mostafa, Salama
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 Rashid, Sami Abduljabbar
Audah, Lukman
Hamdi, Mustafa Maad
Jubair, Mohammed Ahmed
Hassan, Mustafa Hamid
Abood, Mohammed Salah
A. Mostafa, Salama
author_facet Rashid, Sami Abduljabbar
Audah, Lukman
Hamdi, Mustafa Maad
Jubair, Mohammed Ahmed
Hassan, Mustafa Hamid
Abood, Mohammed Salah
A. Mostafa, Salama
author_sort Rashid, Sami Abduljabbar
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/9176/1/J15915_295ab55964ee1e698592482cfc0eb56c.pdf
http://eprints.uthm.edu.my/9176/
https://doi.org/10.11591/ijai.v12.i2.pp667-677
_version_ 1772813812283473920
score 13.211869

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