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Impact Factor : 8.14

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Paper Title: Towards Sustainable Smart Cities: A Green AI and Blockchain Integration for Enhanced Security and Efficiency in 6G-enabled IoT Applications
Authors Name: Akash Ghosh , Gaddam Prathik Kumar , Priyanka Jadhav , Bhargavi Nallapuneni , Anshika Bajpai
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IJRTI_188796
Published Paper Id: IJRTI2312099
Published In: Volume 8 Issue 12, December-2023
DOI:
Abstract: The integration of the 6G-enabled Internet of Things (IoT) with artificial intelligence (AI) has become a focal point for addressing real-time application challenges. While AI plays a crucial role in big data analytics, ensuring accurate real-time data analysis, the conventional approach encounters issues related to security, privacy, training data, and centralized architecture. In response to these challenges, this research proposes a novel blockchain-based IoT framework with AI, facilitating the seamless integration of AI and blockchain for enhanced IoT applications. The proposed architecture is evaluated both qualitatively and quantitatively. The qualitative measurement assesses how the integration of blockchain and AI addresses various challenges, delineating AI-oriented Blockchain (AI-BC) and Blockchain-oriented AI (BC-AI). The performance evaluation of the proposed AI-BC architecture is compared with existing techniques in qualitative measurements, demonstrating its superior performance. The experimental analysis validates that the proposed framework excels compared to the current state-of-the-art techniques. Simultaneously, this paper addresses the shortcomings of conventional AI approaches in the context of smart cities, emphasizing the need for a paradigm shift towards a "green AI" approach. While AI has been a key discourse in urban policy circles, its application to smart cities has often been hindered by short-sighted and reductionist approaches. This perspective paper advocates for a consolidated AI approach, specifically green AI, to drive the smart city transformation. Green AI is presented as an enabler capable of moving beyond technocentric efficiency solutions, toward efficient, sustainable, and equitable solutions aligned with the goals of smart urban futures. The methodological approach involves a comprehensive review of existing literature, practices, developments, trends, and applications in both AI and smart city domains. By highlighting the fundamental shortfalls in mainstream AI conceptualization and practice, the paper aims to inform authorities and planners about the importance of adopting and deploying AI systems that address efficiency, sustainability, and equity issues in smart cities. This research contributes to the discourse on securing and enhancing IoT applications in smart cities through the integration of a green AI approach.
Keywords: Internet of Things (IoT); Green Artificial Intelligence (GAI); Blockchain; Sustainable AI; Responsible AI.
Cite Article: "Towards Sustainable Smart Cities: A Green AI and Blockchain Integration for Enhanced Security and Efficiency in 6G-enabled IoT Applications", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 12, page no.704 - 714, December-2023, Available :http://www.ijrti.org/papers/IJRTI2312099.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2312099
Registration ID:188796
Published In: Volume 8 Issue 12, December-2023
DOI (Digital Object Identifier):
Page No: 704 - 714
Country: Delhi, Delhi, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2312099
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2312099
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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