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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

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References


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

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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/