Preview

Proceedings of Telecommunication Universities

Advanced search

Numerical Analysis of the Mathematical Model of a Cluster V2X-System

https://doi.org/10.31854/1813-324X-2023-9-1-14-23

Abstract

The article analyzes the results of numerical modeling of information processes in vehicular ad-hoc networks (VANETs). The review of works devoted to clustering and data caching schemes in Vehicle-to-Everything (V2X) systems is given. L1-metric was chosen as a metric because of its active use in cities with modern layout. Two approaches to the description and evaluation of the efficiency of interaction of boundary devices in a traditional configuration and using a cluster scheme with a shared cache are considered. A mathematical model is constructed and an analysis of its effectiveness is carried out. It is shown that the introduction of new IEEE 802.11bd standards will increase the percentage of serviced devices, thereby minimize the overall delay of computing, which will improve the efficiency of the V2X-system. The results of the study can be used in the design and deployment of automated traffic control systems in cities.

About the Authors

P. Plotnikov
The Bonch-Bruevich Saint Petersburg State University of Telecommunications
Russian Federation

St. Petersburg, Russian Federation



A. Vladyko
The Bonch-Bruevich Saint Petersburg State University of Telecommunications
Russian Federation

St. Petersburg, Russian Federation



References

1. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2015–2020. White Paper. San Jose: Cisco; 2016.

2. Abbas N., Zhang Y., Taherkordi A., Skeie T. Mobile Edge Computing: A Survey. IEEE Internet of Things Journal. 2018;5(1):450‒465. DOI:10.1109/JIOT.2017.2750180

3. Brehon-Grataloup L., Kacimi R., Beylot A.L. Mobile edge computing for V2X architectures and applications: A survey. Computer Networks. 2022;206:108797. DOI:10.1016/j.comnet.2022.108797

4. Vladyko A., Khakimov A., Muthanna A., Ateya A.A., Koucheryavy A. Distributed Edge Computing to Assist Ultra-Low-Latency VANET Applications. Future Internet. 2019;11(6):128. DOI:10.3390/fi11060128

5. Vladyko A., Elagin V., Spirkina A., Muthanna A., Ateya A.A. Distributed Edge Computing with Blockchain Technology to Enable Ultra-Reliable Low-Latency V2X Communications. Electronics. 2022;11(2):173. DOI:10.3390/electronics11020173

6. Plotnikov P., Vladyko A. Minimizing delays in the interaction of edge devices using clustering in VANETs. Proc. of Telecom. Universities. 2022;8(2):6‒13. (in Russ.) DOI:10.31854/1813-324X-2022-8-2-6-13

7. Al-Sweity M.A.M., Volkov A., Muthanna A. Challenges and Requirements for Implementing V2X Technology // Telecom IT. 2020;8(3):20–26. (In Russ.) DOI:10.31854/2307-1303-2020-8-3-20-26

8. Dziyauddin R.A., Niyato D., Luong N.C., Izhar M.A.M., Hadhari M., Daud S. Computation Offloading and Content Caching Delivery in Vehicular Edge Computing: A Survey. Computer Networks. 2021;197:108228. DOI:10.1016/j.comnet.2021.108228

9. You C., Huang K., Chae H., Kim B.H. Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading. IEEE Transactions on Wireless Communications. 2017;16(3):1397‒1411. DOI:10.1109/TWC.2016.2633522

10. Ren J., Yu G. He Y., Li G.Y. Collaborative Cloud and Edge Computing for Latency Minimization. IEEE Transactions on Vehicular Technology. 2019;68(5):5031‒5044. DOI:10.1109/TVT.2019.2904244

11. Chen X., Jiao L., Li W., Fu X. Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing. IEEE/ACM Transactions on Networking. 2016;24(5):2795‒2808. DOI:10.1109/TNET.2015.2487344

12. Bernardini C., Silverston T., Festor O. MPC: Popularity-based caching strategy for content centric networks. Proceedings of the International Conference on Communications, ICC, 09‒13 June 2013, Budapest, Hungary. IEEE; 2013. p.3619–3623. DOI:10.1109/ICC.2013.6655114

13. Perabathini B., Baştuğ E., Kountouris M., Debbah M., Conte A. Caching at the edge: A green perspective for 5G networks. Proceedings of the International Conference on Communication Workshop, ICCW, 08‒12 June 2015, London, UK. IEEE; 2015. p.2830–2835. DOI:10.1109/ICCW.2015.7247608

14. Mahmood A., Casetti C., Chiasserini C.F., Giaccone P., Harri J. Mobility-aware edge caching for connected cars. Proceedings of the 12th Annual Conference on Wireless On-demand Network Systems and Services, WONS, 20‒22 January 2016, Cortina d'Ampezzo, Italy. IEEE; 2015. p.1–8.

15. Garetto M., Leonardi E., Traverso S. Efficient analysis of caching strategies under dynamic content popularity. Proceedings of the Conference on Computer Communications, INFOCOM, 26 April 2015‒01 May 2015, Hong Kong, China. IEEE; 2015. p.2263–2271. DOI:10.1109/INFOCOM.2015.7218613

16. Poularakis K., Iosifidis G., Sourlas V., Tassiulas L. Exploiting Caching and Multicast for 5G Wireless Networks. IEEE Transactions on Wireless Communications. 2016;15(4):2995–3007. DOI:10.1109/TWC.2016.2514418

17. Golrezaei N., Molisch A.F., Dimakis A.G., Caire G. Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution. IEEE Communications Magazine. 2013;51(4):142–149. DOI:10.1109/MCOM.2013.6495773

18. Abuelenin S.M., Abul-Magd A.Y., Empirical study of traffic velocity distribution and its effect on VANETs connectivity. Proceedings of the International Conference on Connected Vehicles and Expo, ICCVE, 03‒07 November 2014, Vienna, Austria). IEEE; 2014. p.391‒395. DOI:10.1109/ICCVE.2014.7297577

19. Ma J., Wang J., Fan P. A Cooperation-Based Caching Scheme for Heterogeneous Networks. IEEE Access. 2017;5:15013‒15020. DOI:10.1109/ACCESS.2016.2644980

20. Torgunakov V., Loginov V., Khorov E. A Study of Channel Bonding in IEEE 802.11bd Networks. IEEE Access. 2022;10:25514‒25533. DOI:10.1109/ACCESS.2022.3155814

21. Zhu Z., Zhang M., Hao W. Chapter 6  Artificial intelligence technology in the Internet of things. Intelligent Sensing and Communications for Internet of Everything. Academic Press; 2022. p.245‒297. DOI:10.1016/B978-0-32-385655-3.00010-2

22. Plotnikov P., Tambovtsev G., Vladyko A. Software Module for Modeling the Interaction of Edge Devices in VANET. Patent RF, no 2022669558, 07.10.2022. (in Russ.)

23. Torgunakov V.A., Loginov V.A., Khorov E.M., Lyakhov A.I. Algorithm for adaptive selection of a competitive window in IEEE 802.11bd networks. Information processes. 2022;22(4):373–383. (in Russ.) DOI:10.53921/18195822_2022_22_4_373

24. Elkin D.M., Vyatkin V.V. On the way to the Internet of things in traffic management: a review of existing methods of traffic management. Izvestiya SFU. Technical science. 2019;5:100–113. DOI:10.23683/2311-3103-2019-5-100-113


Review

For citations:


Plotnikov P., Vladyko A. Numerical Analysis of the Mathematical Model of a Cluster V2X-System. Proceedings of Telecommunication Universities. 2023;9(1):14-23. (In Russ.) https://doi.org/10.31854/1813-324X-2023-9-1-14-23

Views: 397


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1813-324X (Print)
ISSN 2712-8830 (Online)