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Sustainable Smart Cities: Convergence of Artificial Intelligence and Blockchain

Author

Listed:
  • Ashutosh Sharma

    (Department of Information and Analytical Security Systems, Southern Federal University, Rostov-on-Don 344006, Russia)

  • Elizaveta Podoplelova

    (Department of Information and Analytical Security Systems, Southern Federal University, Rostov-on-Don 344006, Russia)

  • Gleb Shapovalov

    (Department of Information and Analytical Security Systems, Southern Federal University, Rostov-on-Don 344006, Russia)

  • Alexey Tselykh

    (Department of Information and Analytical Security Systems, Southern Federal University, Rostov-on-Don 344006, Russia)

  • Alexander Tselykh

    (Department of Information and Analytical Security Systems, Southern Federal University, Rostov-on-Don 344006, Russia)

Abstract

Recently, 6G-enabled Internet of Things (IoT) is gaining attention and addressing various challenges of real time application. The artificial intelligence plays a significant role for big data analytics and presents accurate data analysis in real time. However, designing big data analysis through artificial intelligence faces some issues in terms of security, privacy, training data, and centralized architecture. In this article, blockchain-based IoT framework with artificial intelligence is proposed which presents the integration of artificial intelligence and blockchain for IoT applications. The performance of the proposed architecture is evaluated in terms of qualitative and quantitative measurement. For qualitative measurement, how the integration of blockchain and artificial intelligence addresses various issues are described with the description of AI oriented BC and BC oriented AI. The performance evaluation of proposed AI-BC architecture is evaluated and compared with existing techniques in qualitative measurement. The experimental analysis shows that the proposed framework performs better in comparison with the existing state of art techniques.

Suggested Citation

  • Ashutosh Sharma & Elizaveta Podoplelova & Gleb Shapovalov & Alexey Tselykh & Alexander Tselykh, 2021. "Sustainable Smart Cities: Convergence of Artificial Intelligence and Blockchain," Sustainability, MDPI, vol. 13(23), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13076-:d:688145
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    References listed on IDEAS

    as
    1. Jian Yang & Amit Sharma & Rajeev Kumar, 2021. "IoT-Based Framework for Smart Agriculture," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 12(2), pages 1-14, April.
    2. Hui Pang & Zheng Zheng & Tongmiao Zhen & Ashutosh Sharma, 2021. "Smart Farming: An Approach for Disease Detection Implementing IoT and Image Processing," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 12(1), pages 55-67, January.
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    Cited by:

    1. Irina A. Morozova & Stanislav S. Yatsechko, 2022. "The Risks of Smart Cities and the Perspectives of Their Management Based on Corporate Social Responsibility in the Interests of Sustainable Development," Risks, MDPI, vol. 10(2), pages 1-15, February.
    2. Yanlong Guo & Xuan Li & Denghang Chen & Han Zhang, 2022. "Evaluation Study on the Use of Non-Contact Prevention and Protection Products in the Context of COVID-19: A Comprehensive Evaluation Method from AHP and Entropy Weight Method," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    3. Muzammil Hussain & Waheed Javed & Owais Hakeem & Abdullah Yousafzai & Alisha Younas & Mazhar Javed Awan & Haitham Nobanee & Azlan Mohd Zain, 2021. "Blockchain-Based IoT Devices in Supply Chain Management: A Systematic Literature Review," Sustainability, MDPI, vol. 13(24), pages 1-23, December.

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