Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs
: Vehicular ad hoc networks (VANETs) recently covered a wide range of intelligent transportation systems (ITSs) and applications. VANETs consist of convinced unique characteristics such as dynamic movement and high speed. Due to these characteristics, link failures occur, and delay and routing over...
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| Format: | Article |
| Language: | English |
| Published: |
2023
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| Online Access: | http://eprints.uthm.edu.my/10005/1/J16055_a521783bc4a0c2c549f3fca6c51ad8a2.pdf |
| _version_ | 1796870077045276672 |
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| author | F. Al-dolaimy, F. Al-dolaimy Rabei Raad Ali, Rabei Raad Ali Noor Nabeel, Noor Nabeel |
| author_facet | F. Al-dolaimy, F. Al-dolaimy Rabei Raad Ali, Rabei Raad Ali Noor Nabeel, Noor Nabeel |
| author_sort | F. Al-dolaimy, F. Al-dolaimy |
| collection | UTHM |
| description | : Vehicular ad hoc networks (VANETs) recently covered a wide range of intelligent transportation systems (ITSs) and applications. VANETs consist of convinced unique characteristics such as dynamic movement and high
speed. Due to these characteristics, link failures occur, and delay and routing overhead is greatly increased, directly
affecting the effectiveness, Quality of Service (QoS), and stability of VANETs. To achieve an efficient and reliable
network performance, this paper proposes QoS Aware Hybrid Optimization for Improving Path Selection (HOIPSVANETs) in VANETs. This hybrid optimization combines the Improved ant colony optimization (ACO) and Effective Whale Optimization Algorithm (EWOA). The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. This optimization technique is also applied to low-density, medium-density, and high-density scenarios, as it is compared with the earlier methods. During the experimentation process, our findings reveal no noticeable change in the performance of the earlier methods
when applied to the low-density and medium-density scenarios. Still, the performance is gradually reduced when
applied to the high-density scenario. On the other hand, the performance of the proposed approach is better for all three
tested scenarios and demonstrates effective communication for the VANETs. |
| first_indexed | 2024-03-05T22:04:11Z |
| format | Article |
| id | uthm.eprints-10005 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:04:11Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | uthm.eprints-100052023-09-25T01:45:17Z http://eprints.uthm.edu.my/10005/ Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs F. Al-dolaimy, F. Al-dolaimy Rabei Raad Ali, Rabei Raad Ali Noor Nabeel, Noor Nabeel T Technology (General) : Vehicular ad hoc networks (VANETs) recently covered a wide range of intelligent transportation systems (ITSs) and applications. VANETs consist of convinced unique characteristics such as dynamic movement and high speed. Due to these characteristics, link failures occur, and delay and routing overhead is greatly increased, directly affecting the effectiveness, Quality of Service (QoS), and stability of VANETs. To achieve an efficient and reliable network performance, this paper proposes QoS Aware Hybrid Optimization for Improving Path Selection (HOIPSVANETs) in VANETs. This hybrid optimization combines the Improved ant colony optimization (ACO) and Effective Whale Optimization Algorithm (EWOA). The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. This optimization technique is also applied to low-density, medium-density, and high-density scenarios, as it is compared with the earlier methods. During the experimentation process, our findings reveal no noticeable change in the performance of the earlier methods when applied to the low-density and medium-density scenarios. Still, the performance is gradually reduced when applied to the high-density scenario. On the other hand, the performance of the proposed approach is better for all three tested scenarios and demonstrates effective communication for the VANETs. 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/10005/1/J16055_a521783bc4a0c2c549f3fca6c51ad8a2.pdf F. Al-dolaimy, F. Al-dolaimy and Rabei Raad Ali, Rabei Raad Ali and Noor Nabeel, Noor Nabeel (2023) Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs. International Journal of Intelligent Engineering and Systems, 16 (4). pp. 69-80. https://doi.org/10.22266/ijies2023.0831.06 |
| spellingShingle | T Technology (General) F. Al-dolaimy, F. Al-dolaimy Rabei Raad Ali, Rabei Raad Ali Noor Nabeel, Noor Nabeel Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs |
| title | Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs |
| title_full | Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs |
| title_fullStr | Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs |
| title_full_unstemmed | Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs |
| title_short | Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs |
| title_sort | hybrid optimization with enhanced qos based path selection in vanets |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/10005/1/J16055_a521783bc4a0c2c549f3fca6c51ad8a2.pdf |
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