Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords
Effective communication solutions are crucial in the dynamic transportation landscape. The rise of autonomous vehicles and sophisticated transportation systems has shaped urban mobility, underscoring the importance of safety considerations and data-driven decision making. This study examines the sig...
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| Format: | Article |
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Frontiers Media S.A.
2025-08-01
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| Series: | Frontiers in Physics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2025.1635345/full |
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| author | Mouna Garai Maha Sliti Noureddine Boudriga Manel Mrabet Sarra Ayouni Abdelrahman Elfikky Ayman Boghdady Syed Agha Hassnain Mohsan Lassaad Ben Ammar |
| author_facet | Mouna Garai Maha Sliti Noureddine Boudriga Manel Mrabet Sarra Ayouni Abdelrahman Elfikky Ayman Boghdady Syed Agha Hassnain Mohsan Lassaad Ben Ammar |
| author_sort | Mouna Garai |
| collection | DOAJ |
| description | Effective communication solutions are crucial in the dynamic transportation landscape. The rise of autonomous vehicles and sophisticated transportation systems has shaped urban mobility, underscoring the importance of safety considerations and data-driven decision making. This study examines the significance of rapid, low-latency communication in advanced intelligent transportation systems, focusing on the use of Visible Light Communication (VLC) in vehicle ad hoc networks (VANETs). This study introduces a tree-structured communication architecture utilizing hierarchical optical codewords to enhance data routing efficiency and establish a vehicle identification system. The proposed system employs dynamic attachment and reattachment protocols in conjunction with adaptive quality-of-service mechanisms to effectively mitigate variability in traffic dynamics, thus enhancing network stability and data aggregation. Simulation results contrasting the Intelligent Driver Model, Gipps, and Krauss mobility models indicate that, while more complex network trees may lead to increased delay and lower effective signal-to-noise ratios, models characterized by greater vehicular spacing generally result in reduced delay and enhanced SNR, though this improvement comes at the cost of connectivity. This document provides a detailed examination of mobility-aware performance and the incorporation of tree-structured VLC VANETs that employ hierarchical optical codewords for distinct node identification. The performance insights reveal significant improvements in scalability, latency, and throughput, which support the advancement of smart city infrastructures that are more sustainable, efficient, and secure. |
| format | Article |
| id | doaj-art-02eb237290b6401b9cb6a6ed7636755d |
| institution | Kabale University |
| issn | 2296-424X |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj-art-02eb237290b6401b9cb6a6ed7636755d2025-08-20T03:41:08ZengFrontiers Media S.A.Frontiers in Physics2296-424X2025-08-011310.3389/fphy.2025.16353451635345Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewordsMouna Garai0Maha Sliti1Noureddine Boudriga2Manel Mrabet3Sarra Ayouni4Abdelrahman Elfikky5Ayman Boghdady6Syed Agha Hassnain Mohsan7Lassaad Ben Ammar8Communication Networks and Security Research Lab. & LR11TIC02, Green and Smart Communication Systems Research Lab, Higher School of Communication of Tunis (SUP’COM), University of Carthage, Carthage, TunisiaCommunication Networks and Security Research Lab. & LR11TIC02, Green and Smart Communication Systems Research Lab, Higher School of Communication of Tunis (SUP’COM), University of Carthage, Carthage, TunisiaHigher School of Communication of Tunis (SUP’COM), University of Carthage, Carthage, TunisiaDepartment of Computer Sciences, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi ArabiaDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaPort Training Institute, Arab Academy for Science, Technology and Maritime Transport, Alexandria, EgyptPort Training Institute, Arab Academy for Science, Technology and Maritime Transport, Alexandria, EgyptShenzhen Graduate School, Peking University, Shenzhen, ChinaDepartment of Computer Sciences, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi ArabiaEffective communication solutions are crucial in the dynamic transportation landscape. The rise of autonomous vehicles and sophisticated transportation systems has shaped urban mobility, underscoring the importance of safety considerations and data-driven decision making. This study examines the significance of rapid, low-latency communication in advanced intelligent transportation systems, focusing on the use of Visible Light Communication (VLC) in vehicle ad hoc networks (VANETs). This study introduces a tree-structured communication architecture utilizing hierarchical optical codewords to enhance data routing efficiency and establish a vehicle identification system. The proposed system employs dynamic attachment and reattachment protocols in conjunction with adaptive quality-of-service mechanisms to effectively mitigate variability in traffic dynamics, thus enhancing network stability and data aggregation. Simulation results contrasting the Intelligent Driver Model, Gipps, and Krauss mobility models indicate that, while more complex network trees may lead to increased delay and lower effective signal-to-noise ratios, models characterized by greater vehicular spacing generally result in reduced delay and enhanced SNR, though this improvement comes at the cost of connectivity. This document provides a detailed examination of mobility-aware performance and the incorporation of tree-structured VLC VANETs that employ hierarchical optical codewords for distinct node identification. The performance insights reveal significant improvements in scalability, latency, and throughput, which support the advancement of smart city infrastructures that are more sustainable, efficient, and secure.https://www.frontiersin.org/articles/10.3389/fphy.2025.1635345/fullVANETVLCoptical codewordscollection treemobility models |
| spellingShingle | Mouna Garai Maha Sliti Noureddine Boudriga Manel Mrabet Sarra Ayouni Abdelrahman Elfikky Ayman Boghdady Syed Agha Hassnain Mohsan Lassaad Ben Ammar Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords Frontiers in Physics VANET VLC optical codewords collection tree mobility models |
| title | Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords |
| title_full | Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords |
| title_fullStr | Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords |
| title_full_unstemmed | Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords |
| title_short | Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords |
| title_sort | optimized vehicular connectivity and data exchange in a tree structured vlc communication network based on optical codewords |
| topic | VANET VLC optical codewords collection tree mobility models |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2025.1635345/full |
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