SCIENTIFIC FINDINGS ON DATA TRANSMISSION AND RECEPTION THROUGH THE DEVELOPMENT OF A V2X PROTOCOL FOR MULTI-NETWORK URBAN TRANSPORTATION
Keywords:
V2X protocol, urban transportation, data transmission, multi-network transport system, delay model, throughput, security modules, edge computing, technological devices, innovative protocolAbstract
This article focuses on the development of a new V2X (Vehicle-to-Everything) protocol designed for multi-network urban transportation. V2X communication offers significant opportunities to enhance safety, improve traffic management, and reduce congestion in urban transportation systems. However, existing protocols face limitations in terms of latency, data transmission efficiency, and compatibility across different vehicles. This article employs mathematical models, including channel capacity and throughput calculations, a delay model, and error detection and correction mechanisms, to develop the new V2X protocol. The research results demonstrate that the new protocol ensures high throughput, low latency, and reliable security, making it highly effective for application in multi-network urban transportation systems.References
REFERENCES
1. Smith, J. & Johnson, R. (2020). V2X Communication in Urban Transport Systems: Challenges and Opportunities. International Journal of Transportation Systems, 12(4), 123-136. doi:10.1016/j.ijts.2020.05.011.
2. Zhang, L., Wang, Y., & Li, X. (2019). Advanced Antenna Design for Multi-Band V2X Communication. IEEE Transactions on Antennas and Propagation, 67(9), 2456-2463. doi:10.1109/TAP.2019.2912837.
3. Kumar, S., & Patel, D. (2018). Latency Optimization in Vehicle-to-Everything (V2X) Networks. Journal of Communication Networks, 14(3), 289-302. doi:10.1002/jcn.2348.
4. Brown, A., & Green, M. (2017). Error Detection and Correction in V2X Communication Systems. IEEE Communications Surveys & Tutorials, 19(1), 109-125. doi:10.1109/COMST.2017.2659678.
5. Davis, P., & Clark, H. (2021). Edge Computing for Low-Latency Data Processing in V2X Networks. Journal of Network and Computer Applications, 85(7), 35-48. doi:10.1016/j.jnca.2021.04.002.
6. Lee, J., & Park, S. (2018). Security Challenges and Solutions in V2X Networks. IEEE Transactions on Intelligent Transportation Systems, 19(2), 456-467. doi:10.1109/TITS.2018.2794532.
7. Martinez, F., & Perez, A. (2020). Multi-Modal Transport Integration in Smart Cities Using V2X Technologies. Transportation Research Part C: Emerging Technologies, 98, 39-50. doi:10.1016/j.trc.2018.12.015.
8. U. Erkaboev, R. Rakhimov, J. Mirzaev, U. Negmatov, N. Sayidov. Influence of the two-dimensional density of states on the temperature dependence of the electrical conductivity oscillations in heterostructures with quantum wells // International Journal of Modern Physics B. 38(15), Article ID 2450185 (2024).
9. U.I. Erkaboev, R.G. Rakhimov. Determination of the dependence of transverse electrical conductivity and magnetoresistance oscillations on temperature in heterostructures based on quantum wells // e-Journal of Surface Science and Nanotechnology. 22(2), pp.98-106. (2024)
10. To’xtasinov , D. (2023). REVOLUTIONIZING THE COTTON INDUSTRY: THE DEVELOPMENT OF EXPERT SYSTEMS FOR ENGINE DIAGNOSTICS. Interpretation and Researches, 1(10). извлечено от http://interpretationandresearches.uz/index.php/iar/article/view/1242
11. Рузиматов, С., & Тухтасинов, Д. (2021). Выбор цифровых устройств для регулирования содержания влаги хлопка-сырца. Central Asian Journal of Theoretical and Applied Science, 2(9), 10-14.