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Edge computing and data optimization for remote diagnostics of vehicles

НазваEdge computing and data optimization for remote diagnostics of vehicles
Назва англійськоюEdge computing and data optimization for remote diagnostics of vehicles
АвториVitalii Bonar, Volodymyr Hotovych, Liubomyr Matiichuk
ПринадлежністьTernopil Ivan Puluj National Technical University, Ternopil, Ukraine
Бібліографічний описEdge computing and data optimization for remote diagnostics of vehicles / Vitalii Bonar, Volodymyr Hotovych, Liubomyr Matiichuk // Scientific Journal of TNTU. — Tern.: TNTU, 2025. — Vol 120. — No 4. — P. 39–45.
Bibliographic description:Bonar V., Hotovych V., Matiichuk L. (2025) Edge computing and data optimization for remote diagnostics of vehicles. Scientific Journal of TNTU (Tern.), vol 120, no 4, pp. 39–45.
DOI: https://doi.org/10.33108/visnyk_tntu2025.04.039
УДК

004.75

Ключові слова
remote diagnostics, edge computing, telemetry optimization, localized processing, diagnostics of vehicles. 
This paper proposes the use of edge computing for remote vehicle diagnostics. Instead of continuously streaming raw telemetry, the on-board computer performs simplified analytics, adaptive sampling, and data compression, so that the outgoing network channel transmits event packets and short periodic summaries (summaries) of data. The system design focuses on three goals: to maintain the ability to make important diagnostic decisions, to keep the reconstruction error acceptable for analysis, and to notify of a fault even with weak or variable connectivity in a reasonable time. The paper proposes a simple and reproducible way to account for data volume and latency, shows how to configure basic controls for each signal, and discusses the use of multi-peripheral edge computing (MEC) to reduce latency. The result is significant savings in outbound traffic without compromising diagnostic capability.
ISSN:2522-4433
Перелік літератури
1. Moshynska, Alina & Khrokalo, Oleksandr. (2024). Remote vehicle diagnostic system development based on the internet of things technology. Information and Telecommunication Sciences. 28–32. Doi: 10.20535/2411-2976.12024.28-32. 
2. Zheng, Yang & Li, Feifei & Luo, Feng. (2012). Vehicle Remote Diagnostic System Implementation Based on 3G Communication and Browser/Server Structure. 
3. S. Douch, M. R. Abid, K. Zine-Dine, D. Bouzidi and D. Benhaddou (2022) “Edge Computing Technology Enablers: A Systematic Lecture Study,” in IEEE Access, vol. 10, pp. 69264–69302, Doi: 10.1109/ACCESS.2022.3183634. 
4. George A. Shaji & George A.s & Baskar Dr & s, A. (2023). Edge Computing and the Future of Cloud Computing: A Survey of Industry Perspectives and Predictions. 02. 19–44. Doi: 10.5281/zenodo.8020101. 
5. Cao K., Liu Y., Meng G. and Sun Q. (2020) “An Overview on Edge Computing Research”, in IEEE Access, vol. 8, pp. 85714–85728, Doi: 10.1109/ACCESS.2020.2991734. 
6. Ajin V. W., Kumar L. D. and Joy J. (2016) “Study of security and effectiveness of DoIP in vehicle networks”, International Conference on Circuit, Power and Computing Technologies (ICCPCT), Nagercoil, India, 2016, pp. 1–6. Doi: 10.1109/ICCPCT.2016.7530357. 
7. Xu, Ning & Luo, Feng. (2025). Automotive DoIP Cybersecurity analysis. Advances in Engineering Innovation. 16. None-None. Doi: 10.54254/2977-3903/2025.21619. 
8. Kharche P., Murali M. and Khot G., “UDS implementation for ECU I/O testing”, (2018) 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE), Singapore, 2018, pp. 137–140. Doi: 10.1109/ICITE.2018.8492642. 
9. Mishko O., Matiuk D., Derkach M. (2024) Security of remote iot system management by integrating firewall configuration into tunneled traffic. Scientific Journal of TNTU, vol. 115, no. 3, pp. 122–129. 
10. Patra, Bhupesh & Tamrakar, Abha & Sharma, Rishabh. (2019). EDGE COMPUTING: EVOLUTION, CHALLENGES, AND FUTURE DIRECTIONS. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 10. 741-745. 10.61841/turcomat.v10i1.14603. 
11. Xie, Lingfeng & Luo, Feng. (2016). Research and Implementation of the UDS Diagnostic System. 10.2991/icimm-16.2016.1. 
12. Liashuk O., Hotovych V., Bonar V., Aulin V., Hrinkiv A. & Matiichuk L. (2024) The Concept of Remote Diagnostics of the Technical Condition of Vehicles During their Operation. Central Ukrainian Scientific Bulletin. Technical Sciences. 1. 29–39. 10.32515/2664-262X.2024.10(41).1.29-39. 
13. Kaiser Martin. (2015). Electronic control unit (ECU). 10.1007/978-3-658-03964-6_16. 
14. K. S. Dhananjayan, M. M, P. Kayalvizhi, P. Lakshmanan, P. N and O. S. Senthooriya (2024) “Development of a Telematic Control Unit for Capturing Vital Vehicle Data Without Using Company Fitted Telematic Ports”, International Conference on Science Technology Engineering and Management (ICSTEM), Coimbatore, India, 2024, pp. 1–5. Doi: 10.1109/ICSTEM61137.2024.10561194. 
15. Nencioni, Gianfranco & Garroppo, Rosario & Olimid, Ruxandra. (2023). 5G Multi-Access Edge Computing: A Survey on Security, Dependability, and Performance. IEEE Access, pp. 1–1. 10.1109/ACCESS.2023.3288334. 
16. Starchenko V. (2021) Traffic optimization in wifi networks for the internet of things. Scientific Journal of TNTU (Tern.), vol. 104, no. 4, pp. 131–142. 10.33108/visnyk_tntu2021.04.131.  
17. Voichyshyn Yu., Holenko K., Horbay O., Honchar V. (2023) Methodology of analytical research of the microclimate of the bus drivers cab using the ANSYS-FLUENT software environment. Scientific Journal of TNTU, vol. 109, no. 1, pp. 90–98. 10.33108/visnyk_tntu2023.01.090.
References:
1. Moshynska, Alina & Khrokalo, Oleksandr. (2024). Remote vehicle diagnostic system development based on the internet of things technology. Information and Telecommunication Sciences. 28–32. Doi: 10.20535/2411-2976.12024.28-32. 
2. Zheng, Yang & Li, Feifei & Luo, Feng. (2012). Vehicle Remote Diagnostic System Implementation Based on 3G Communication and Browser/Server Structure. 
3. S. Douch, M. R. Abid, K. Zine-Dine, D. Bouzidi and D. Benhaddou (2022) “Edge Computing Technology Enablers: A Systematic Lecture Study,” in IEEE Access, vol. 10, pp. 69264–69302, Doi: 10.1109/ACCESS.2022.3183634. 
4. George A. Shaji & George A.s & Baskar Dr & s, A. (2023). Edge Computing and the Future of Cloud Computing: A Survey of Industry Perspectives and Predictions. 02. 19–44. Doi: 10.5281/zenodo.8020101. 
5. Cao K., Liu Y., Meng G. and Sun Q. (2020) “An Overview on Edge Computing Research”, in IEEE Access, vol. 8, pp. 85714–85728, Doi: 10.1109/ACCESS.2020.2991734. 
6. Ajin V. W., Kumar L. D. and Joy J. (2016) “Study of security and effectiveness of DoIP in vehicle networks”, International Conference on Circuit, Power and Computing Technologies (ICCPCT), Nagercoil, India, 2016, pp. 1–6. Doi: 10.1109/ICCPCT.2016.7530357. 
7. Xu, Ning & Luo, Feng. (2025). Automotive DoIP Cybersecurity analysis. Advances in Engineering Innovation. 16. None-None. Doi: 10.54254/2977-3903/2025.21619. 
8. Kharche P., Murali M. and Khot G., “UDS implementation for ECU I/O testing”, (2018) 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE), Singapore, 2018, pp. 137–140. Doi: 10.1109/ICITE.2018.8492642. 
9. Mishko O., Matiuk D., Derkach M. (2024) Security of remote iot system management by integrating firewall configuration into tunneled traffic. Scientific Journal of TNTU, vol. 115, no. 3, pp. 122–129. 
10. Patra, Bhupesh & Tamrakar, Abha & Sharma, Rishabh. (2019). EDGE COMPUTING: EVOLUTION, CHALLENGES, AND FUTURE DIRECTIONS. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 10. 741-745. 10.61841/turcomat.v10i1.14603. 
11. Xie, Lingfeng & Luo, Feng. (2016). Research and Implementation of the UDS Diagnostic System. 10.2991/icimm-16.2016.1. 
12. Liashuk O., Hotovych V., Bonar V., Aulin V., Hrinkiv A. & Matiichuk L. (2024) The Concept of Remote Diagnostics of the Technical Condition of Vehicles During their Operation. Central Ukrainian Scientific Bulletin. Technical Sciences. 1. 29–39. 10.32515/2664-262X.2024.10(41).1.29-39. 
13. Kaiser Martin. (2015). Electronic control unit (ECU). 10.1007/978-3-658-03964-6_16. 
14. K. S. Dhananjayan, M. M, P. Kayalvizhi, P. Lakshmanan, P. N and O. S. Senthooriya (2024) “Development of a Telematic Control Unit for Capturing Vital Vehicle Data Without Using Company Fitted Telematic Ports”, International Conference on Science Technology Engineering and Management (ICSTEM), Coimbatore, India, 2024, pp. 1–5. Doi: 10.1109/ICSTEM61137.2024.10561194. 
15. Nencioni, Gianfranco & Garroppo, Rosario & Olimid, Ruxandra. (2023). 5G Multi-Access Edge Computing: A Survey on Security, Dependability, and Performance. IEEE Access, pp. 1–1. 10.1109/ACCESS.2023.3288334. 
16. Starchenko V. (2021) Traffic optimization in wifi networks for the internet of things. Scientific Journal of TNTU (Tern.), vol. 104, no. 4, pp. 131–142. 10.33108/visnyk_tntu2021.04.131.  
17. Voichyshyn Yu., Holenko K., Horbay O., Honchar V. (2023) Methodology of analytical research of the microclimate of the bus drivers cab using the ANSYS-FLUENT software environment. Scientific Journal of TNTU, vol. 109, no. 1, pp. 90–98. 10.33108/visnyk_tntu2023.01.090.
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