Blockchain Applicability for Storing Iot Telemetric Data in Logistic

2024;
: pp. 164 - 169
1
Lviv Polytechnic National University, Ukraine
2
Lviv Politechnic National University

The rapid growth of the Internet of Things (IoT) has revolutionized the logistics industry by enabling real-time tracking and monitoring of goods throughout the supply chain. However, the immense volume of telemetric data generated by IoT devices presents significant challenges in terms of scalability, data integrity, and security for traditional database solutions. This paper explores the applicability of blockchain technology as an alternative for storing and managing IoT telemetric data in logistics. The blockchain’s decentralized structure, immutable ledger, and smart contract capabilities to address these challenges have been investigated. An ability to enhance data security, automation, and transparency has been disclosed. A comparative analysis between blockchain-based storage and traditional databases, has benn presented, focusing on key criteria such as scalability, data integrity, security, and cost efficiency.

  1. Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: a literature revi- ew. International Journal of Production Research, 57(15- 16), 4719-4742. DOI: 10.1080/00207543.2017.1402140.
  2. Xu, L., & Li, Z. (2020). Integration of cloud computing and Internet of Things: A survey. Journal of Network and Computer Applications, 103, 102-110. DOI: 10.1016/j.jnca.2019.102110.
  3. Khan, M. A., & Salah, K. (2018). IoT security: Review, blockchain solutions, and open challenges. Future Generation Computer Systems, 82, 395–411. DOI: https://doi.org/10.1016/j.future.2017.11.022.
  4. Campos, J., Sharma, P., Cañizo, M., Jantunen, E., Baglee, D., Charramendieta, S., & Conde, A. (2020). The use of relational and NoSQL databases in industrial asset management. In J. P. Liyanage, J. E. Amadi-Echendu, & J. Mathew (Eds.), Engineering Assets and Public Infrastructures in the Age of Digitalization (pp. 302–308). Springer, Cham. DOI: https://doi.org/10.1007/978-3-030- 48021-9_34.
  5. Kontogiannis, S., Asiminidis, C., & Kokkonis, G. (2019). Comparing relational and NoSQL databases for carrying IoT data. Journal of Scientific and Engineering Research, 6(1), 125–133.
  6. Wang, Y., Han, J. H., & Beynon-Davies, P. (2019). Understanding blockchain technology for future supply chains: a systematic literature review and research agenda. Supply Chain Management: An International Journal, 24(1), 62-84. DOI: 10.1108/SCM-03-2018-0148.
  7. Pereira, D. A., de  Morais, W. O., & de  Freitas,  E.  P. (2018). NoSQL real-time database performance comparison. International Journal of Parallel, Emergent and Distributed Systems, 33(2), 144–156. DOI: https://doi.org/10.1080/17445760.2017.1327311.
  8. Ivanov, D., & Dolgui, A. (2020). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 31(13), 1045-1063. DOI: 10.1080/09537287.2020.1768450.
  9. Yuan, Y., & Wang, F.-Y. (2018). Blockchain and crypto- currencies: Model, techniques, and applications. IEEE Transactions on Systems,  Man,  and Cybernetics: Systems, 48(9),    1421–1428.    DOI:    https://doi.org/10.1109/TSMC. 2018.2854904.
  10. Reyna, A., Martín, C., Chen, J., Soler, E., & Díaz, M. (2018). On blockchain and its integration with IoT. Challenges and opportunities. Future  Generation Computer Systems, 88, 173–190. DOI: https://doi.org/10.1016/j.future.2018.05.046.
  11. Amazon Web Services. Blockchain on AWS. Retrieved September        20,           2024,       from https://aws.amazon.com/blockchain/
  12. Microsoft Azure. (n.d.). Azure Blockchain Service. Retrie- ved September 20, 2024, from https://azure.microsoft.com/ services/blockchain-service//
  13. Dannen, C. (2017). Introducing Ethereum and Solidity. Apress. DOI: https://doi.org/10.1007/978-1-4842-2535-6.
  14. Antonopoulos, A. M., & Wood, G. (2018). Mastering Ethe- reum: Building Smart Contracts and DApps. O'Reilly Media.
  15. Treiblmaier, H. (2019). Combining blockchain technology and the physical internet to  achieve triple bottom line sustainability: a comprehensive research agenda for modern logistics and supply chain management. Logistics, 3(1), 10. DOI: 10.3390/logistics3010010.
  16. Yassaee, A. G., & Dana, A. F. (2020, January). A comparative study of blockchain-based storage solutions for IoT data. In Proceedings of the 2020 International Conference on Internet of Things and Intelligence System (IoTaIS)          (pp.         56–61).   IEEE.      DOI:https://doi.org/10.1109/IoTaIS50849.2020.9359702.
  17. Blome, D. M. K., Schoenitz, M., & Fahnenschreiber, K. P. (2018, September). Comparative analysis of traditional databases and blockchain-based storage solutions in IoT applications. In 2018 IEEE 9th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp. 1–4). IEEE. DOI:       https://doi.org/10.1109/ICCE- Berlin.2018.8576197.
  18. Li, D., & Wang, J. (2019). A performance comparison of SQL and NoSQL databases for big data applications. In Proceedings of the 2019 IEEE International Conference on Big Data and Smart Computing (BigComp) (pp. 1-6). IEEE. DOI: 10.1109/BIGCOMP.2019.8679206.
  19. Zhao, G., Li, H., & Wang, X. (2023). A comprehensive review of blockchain applications in IoT and logistics: Challenges and future directions. Telematics and Informatics, 75, 101892. DOI: 10.1016/j.tele.2023.101892.