banner

Blockchain enabled artificial intelligence for Industry 5.0: Vision, challenges and opportunities

Amit Kumar Tyagi, Khushboo Tripathi, Swetta Kukreja, Shrikant Tiwari, Aswathy S. U.

Abstract


Internet of Things (IoT) devices are important in the modern day as traditional equipment grow more autonomous and intelligent. On the one hand, high-speed data transmission is a major problem, where the 5G environment plays a important role. Nevertheless, many IoT devices use protocols that are built on centralized design to transfer data, which may result in a number of security risks for the data. A number of difficulties, including autonomous robotics, self-driving cars, virtual reality, and security issues, are resolved by integrating artificial intelligence with 5G wireless technologies. Hypercognitive approaches, the integration of virtualized and extended worlds, twin and prototypes structures for digital equipment, dependable machine boundaries, collaborative robots, and supply chains powered by artificial intelligence are all credited with the transition (AI). Industry 5.0, a new trend, is anticipated to go beyond the reach of Industry 4.0 ecosystems and make use of large production with user-centered customizations. The sharing of data, however, occurs across several heterogeneous networks that span various authoritative domains. In order to coordinate and safeguard the industrial perimeters, dependable and secured information transfer is important. This research work covers a wide range of tactics, including the IoTs, collaborating robotics, blockchain, digital twins, big data analytics, and upcoming 6G networks. In order to comprehend the issues brought on by interactions between the humans and the robots in the assembly line, the research also took into account the difficulties and issues that were examined in this research.


Keywords


Blockchain (BC); artificial intelligence; Internet of Things; Industry 5.0; security; privacy; scalability

Full Text:

PDF

References


1. Lu Y, Xu X, Wang L. Smart manufacturing process and system automation—A critical review of the standards and envisioned scenarios. Journal of Manufacturing Systems. 2020; 56: 312-325. doi: 10.1016/j.jmsy.2020.06.010

2. Demir KA, Döven G, Sezen B. Industry 5.0 and Human-Robot Co-working. Procedia Computer Science. 2019; 158: 688-695. doi: 10.1016/j.procs.2019.09.104

3. Tanwar S, Popat A, Bhattacharya P, et al. A taxonomy of energy optimization techniques for smart cities: Architecture and future directions. Expert Systems. 2021; 39(5). doi: 10.1111/exsy.12703

4. Lee DJ, Ahn JH, Bang Y, et al. Managing Consumer Privacy Issues in Personalization: A Strategic Analysis of Privacy Protection. MIS Quarterly. 2011; 35(2): 423. doi: 10.2307/23044050

5. Singh SR, Mithaiwala H, Chauhan N, et al. Decentralized blockchain-based framework for securing review system. In: Rao UP, Patel SJ, Raj P, et al. (editors). Security, Privacy and Data Analytics. Springer; 2022. pp. 239-255.

6. Jiang S, Cao J, Wu H, et al. BlocHIE: A BLOCkchain-Based Platform for Healthcare Information Exchange. In: Proceedings of the 2018 IEEE International Conference on Smart Computing (SMARTCOMP).

7. Garcia CG, Nunez-Valdez ER, Garcia-Diaz V, et al. A Review of Artificial Intelligence in the Internet of Things. International Journal of Interactive Multimedia and Artificial Intelligence. 2018, 5(4).

8. Al-Fuqaha A, Guizani M, Mohammadi M, et al. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Communications Surveys & Tutorials. 2015; 17(4): 2347-2376. doi: 10.1109/comst.2015.2444095

9. Lin J, Yu W, Zhang N, et al. A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications. IEEE Internet of Things Journal. 2017; 4(5): 1125-1142. doi: 10.1109/jiot.2017.2683200

10. Samie F, Bauer L, Henkel J. From Cloud Down to Things: An Overview of Machine Learning in Internet of Things. IEEE Internet of Things Journal. 2019; 6(3): 4921-4934. doi: 10.1109/jiot.2019.2893866

11. IoT Architecture: The Pathway from Physical Signals to Business Decisions. Available online: https://www.altexsoft.com/blog/iot-architecture-layers-components/ (accessed on 2 June 2023).

12. Lin YC, Hung MH, Huang HC, et al. Development of Advanced Manufacturing Cloud of Things (AMCoT)—A Smart Manufacturing Platform. IEEE Robotics and Automation Letters. 2017; 2(3): 1809-1816. doi: 10.1109/lra.2017.2706859

13. Chen CC, Hung MH, Li PY, et al. A Novel Automated Construction Scheme for Efficiently Developing Cloud Manufacturing Services. IEEE Robotics and Automation Letters. 2018; 3(3): 1378-1385. doi: 10.1109/lra.2018.2799420

14. Gupta H, Vahid Dastjerdi A, Ghosh SK, et al. iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments. Software: Practice and Experience. 2017; 47(9): 1275-1296. doi: 10.1002/spe.2509

15. Zhou B, Buyya R. Augmentation Techniques for Mobile Cloud Computing. ACM Computing Surveys. 2018; 51(1): 1-38. doi: 10.1145/3152397

16. Ranjan R, Ran O, Nepal S, et al. The next grand challenges: Integrating the Internet of Things and data science. IEEE Cloud Computing; 2018.

17. Gubbi J, Buyya R, Marusic S, et al. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems. 2013; 29(7): 1645-1660. doi: 10.1016/j.future.2013.01.010

18. Ungureanu AV. The Transition from Industry 4.0 To Industry 5.0. The 4Cs Of the Global Economic Change. LUMEN Proceedings. Published online August 2020. doi: 10.18662/lumproc/ncoe4.0.2020/07

19. Adi E, Anwar A, Baig Z, et al. Machine learning and data analytics for the IoT. Neural Computing and Applications. 2020; 32(20): 16205-16233. doi: 10.1007/s00521-020-04874-y

20. Sharma I, Garg I, Kiran D, et al. Industry 5.0 And Smart Cities: A Futuristic Approach. European Journal of Molecular & Clinical Medicine. 2020; 7(8): 2515-8260.

21. Aslam F, Aimin W, Li M, et al. Innovation in the Era of IoT and Industry 5.0: Absolute Innovation Management (AIM) Framework. Information. 2020; 11(2): 124. doi: 10.3390/info11020124

22. Nahavandi S. Industry 5.0—A Human-Centric Solution. Sustainability. 2019; 11(16): 4371. doi: 10.3390/su11164371

23. Qiu T, Zhao Z, Zhang T, et al. Underwater Internet of Things in Smart Ocean: System Architecture and Open Issues. IEEE Transactions on Industrial Informatics; 2019. pp. 1551-3203.

24. Özdemir V, Hekim N. Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “The Internet of Things” and Next-Generation Technology Policy. OMICS: A Journal of Integrative Biology. 2018; 22(1): 65-76. doi: 10.1089/omi.2017.0194

25. Chakraborty M, Singh M, Balas VE, et al. The “Essence” of Network Security: An End-to-End Panorama. Springer Singapore; 2021. doi: 10.1007/978-981-15-9317-8

26. Skobelev PO, Borovik SY. (2017). On the way from Industry 4.0 to Industry 5.0: From digital manufacturing to digital society. Integrated Science Journal. 2017; 2(6): 307e311.

27. Bhattacharya P, Saraswat D, Dave A, et al. Coalition of 6G and Blockchain in AR/VR Space: Challenges and Future Directions. IEEE Access. 2021; 9: 168455-168484. doi: 10.1109/access.2021.3136860

28. Feng H, Wang X, Duan Y, et al. Applying blockchain technology to improve agri-food traceability: A review of development methods, benefits and challenges. Journal of Cleaner Production. 2020; 260: 121031. doi: 10.1016/j.jclepro.2020.121031

29. Golosova J, Romanovs A. The Advantages and Disadvantages of the Blockchain Technology. 2018 IEEE 6th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE). Published online November 2018. doi: 10.1109/aieee.2018.8592253

30. Hakak S, Khan WZ, Gilkar GA, et al. Securing Smart Cities through Blockchain Technology: Architecture, Requirements, and Challenges. IEEE Network. 2020; 34(1): 8-14. doi: 10.1109/mnet.001.1900178

31. Haleem A, Javaid M. Industry 5.0 and its applications in orthopaedics. Journal of Clinical Orthopaedics and Trauma. 2019; 10(4): 807-808. doi: 10.1016/j.jcot.2018.12.010

32. Han ER, Yeo S, Kim MJ, et al. Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review. BMC Medical Education. 2019; 19(1). doi: 10.1186/s12909-019-1891-5

33. Nair MM, Tyagi AK, Sreenath N. The Future with Industry 4.0 at the Core of Society 5.0: Open Issues, Future Opportunities and Challenges. In: Proceedings of the 2021 International Conference on Computer Communication and Informatics (ICCCI).

34. Amit Kumar Tyagi, Swetta Kukreja, Richa, and Poushikkumar Sivakumar, Role of Blockchain Technology in Smart Era: A Review on Possible Smart Applications, Journal of Information & Knowledge Management, February 2024. https://doi.org/10.1142/S0219649224500321

35. Tyagi AK, Lakshmi Priya R, Mishra AK, Balamurugan G. Industry 5.0: Potentials, Issues, Opportunities, and Challenges for Society 5.0. in book title: Privacy Preservation of Genomic and Medical Data. 2023 Oct 17:409-32.

36. Deshmukh A, Patil DS, Soni G, Tyagi AK. Cyber Security: New Realities for Industry 4.0 and Society 5.0. In: Tyagi A (editor). Handbook of Research on Quantum Computing for Smart Environments. IGI Global; 2023. pp. 299-325.




DOI: https://doi.org/10.32629/jai.v7i5.1479

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Amit Kumar Tyagi, Khushboo Tripathi, Swetta Kukreja, Shrikant Tiwari, Aswathy S. U.

License URL: https://creativecommons.org/licenses/by-nc/4.0/