Computer-Aided Efficient Routing and Reliable Protocol Optimization for Autonomous Vehicle Communication Networks
The rise of autonomous vehicles necessitates advanced communication networks for effective data exchange. The routing protocols Ad hoc On-Demand Distance Vector (AODV) and Greedy Perimeter Stateless Routing (GPSR) are vital in mobile networks (MANETs) and vehicular ad hoc networks (VANETs). However,...
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MDPI AG
2025-01-01
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author | Alaa Kamal Yousif Dafhalla Mohamed Elshaikh Elobaid Amira Elsir Tayfour Ahmed Ameni Filali Nada Mohamed Osman SidAhmed Tahani A. Attia Badria Abaker Ibrahim Mohajir Jawaher Suliman Altamimi Tijjani Adam |
author_facet | Alaa Kamal Yousif Dafhalla Mohamed Elshaikh Elobaid Amira Elsir Tayfour Ahmed Ameni Filali Nada Mohamed Osman SidAhmed Tahani A. Attia Badria Abaker Ibrahim Mohajir Jawaher Suliman Altamimi Tijjani Adam |
author_sort | Alaa Kamal Yousif Dafhalla |
collection | DOAJ |
description | The rise of autonomous vehicles necessitates advanced communication networks for effective data exchange. The routing protocols Ad hoc On-Demand Distance Vector (AODV) and Greedy Perimeter Stateless Routing (GPSR) are vital in mobile networks (MANETs) and vehicular ad hoc networks (VANETs). However, their performance is affected by changing network conditions. This study examines key routing parameters—MaxJitter, Hello/Beacon Interval, and route validity time—and their impact on AODV and GPSR performance in urban and highway scenarios. The simulation results reveal that increasing MaxJitter enhances AODV throughput by 12% in cities but decreases it by 8% on highways, while GPSR throughput declines by 15% in cities and 10% on highways. Longer Hello intervals improve AODV performance by 10% in urban settings but reduce it by 6% on highways. Extending route validity time increases GPSR’s Packet Delivery Ratio (PDR) by 10% in cities, underscoring the need to optimize routing parameters for enhanced VANET performance. |
format | Article |
id | doaj-art-53f2f1aececc4103a333e7b828d7cf4c |
institution | Kabale University |
issn | 2073-431X |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Computers |
spelling | doaj-art-53f2f1aececc4103a333e7b828d7cf4c2025-01-24T13:27:52ZengMDPI AGComputers2073-431X2025-01-011411310.3390/computers14010013Computer-Aided Efficient Routing and Reliable Protocol Optimization for Autonomous Vehicle Communication NetworksAlaa Kamal Yousif Dafhalla0Mohamed Elshaikh Elobaid1Amira Elsir Tayfour Ahmed2Ameni Filali3Nada Mohamed Osman SidAhmed4Tahani A. Attia5Badria Abaker Ibrahim Mohajir6Jawaher Suliman Altamimi7Tijjani Adam8Department of Computer Engineering, College of Computer Science and Engineering, University of Ha’il, Hail 55476, Saudi ArabiaFaculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Perlis, MalaysiaDepartment of Information System, College of Science & Arts, King Khalid University, Mohyel Asser 62521, Saudi ArabiaDepartment of Computer Engineering, College of Computer Science and Engineering, University of Ha’il, Hail 55476, Saudi ArabiaDepartment of Computer Engineering, College of Computer Science and Engineering, University of Ha’il, Hail 55476, Saudi ArabiaDepartment of Computer Engineering, College of Computer Science and Engineering, University of Ha’il, Hail 55476, Saudi ArabiaDepartment of Computer Engineering, College of Computer Science and Engineering, University of Ha’il, Hail 55476, Saudi ArabiaDepartment of Computer Science, Najran University, Najran 61441, Saudi ArabiaFaculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Perlis, MalaysiaThe rise of autonomous vehicles necessitates advanced communication networks for effective data exchange. The routing protocols Ad hoc On-Demand Distance Vector (AODV) and Greedy Perimeter Stateless Routing (GPSR) are vital in mobile networks (MANETs) and vehicular ad hoc networks (VANETs). However, their performance is affected by changing network conditions. This study examines key routing parameters—MaxJitter, Hello/Beacon Interval, and route validity time—and their impact on AODV and GPSR performance in urban and highway scenarios. The simulation results reveal that increasing MaxJitter enhances AODV throughput by 12% in cities but decreases it by 8% on highways, while GPSR throughput declines by 15% in cities and 10% on highways. Longer Hello intervals improve AODV performance by 10% in urban settings but reduce it by 6% on highways. Extending route validity time increases GPSR’s Packet Delivery Ratio (PDR) by 10% in cities, underscoring the need to optimize routing parameters for enhanced VANET performance.https://www.mdpi.com/2073-431X/14/1/13routing protocolsAODVGPSRbio-inspired algorithmsautonomous vehiclesBACM (bio-inspired adaptive chameleon method) |
spellingShingle | Alaa Kamal Yousif Dafhalla Mohamed Elshaikh Elobaid Amira Elsir Tayfour Ahmed Ameni Filali Nada Mohamed Osman SidAhmed Tahani A. Attia Badria Abaker Ibrahim Mohajir Jawaher Suliman Altamimi Tijjani Adam Computer-Aided Efficient Routing and Reliable Protocol Optimization for Autonomous Vehicle Communication Networks Computers routing protocols AODV GPSR bio-inspired algorithms autonomous vehicles BACM (bio-inspired adaptive chameleon method) |
title | Computer-Aided Efficient Routing and Reliable Protocol Optimization for Autonomous Vehicle Communication Networks |
title_full | Computer-Aided Efficient Routing and Reliable Protocol Optimization for Autonomous Vehicle Communication Networks |
title_fullStr | Computer-Aided Efficient Routing and Reliable Protocol Optimization for Autonomous Vehicle Communication Networks |
title_full_unstemmed | Computer-Aided Efficient Routing and Reliable Protocol Optimization for Autonomous Vehicle Communication Networks |
title_short | Computer-Aided Efficient Routing and Reliable Protocol Optimization for Autonomous Vehicle Communication Networks |
title_sort | computer aided efficient routing and reliable protocol optimization for autonomous vehicle communication networks |
topic | routing protocols AODV GPSR bio-inspired algorithms autonomous vehicles BACM (bio-inspired adaptive chameleon method) |
url | https://www.mdpi.com/2073-431X/14/1/13 |
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