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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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2023
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| Online Access: | http://eprints.uthm.edu.my/11454/1/J15915_295ab55964ee1e698592482cfc0eb56c.pdf |
| _version_ | 1811134789405638656 |
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| 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 |
| collection | UTHM |
| 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). |
| first_indexed | 2024-09-24T00:10:44Z |
| format | Article |
| id | uthm.eprints-11454 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-09-24T00:10:44Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/11454/1/J15915_295ab55964ee1e698592482cfc0eb56c.pdf |
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