Decentralized AI and Blockchain for Smart Cities: A Framework for Data Integrity and Optimization
Abstract
Smart cities rely on vast amounts of data to optimize urban services, but ensuring the integrity and security of this data is a major challenge. This paper introduces a decentralized AI and blockchain framework for smart cities, focusing on enhancing data integrity and optimization. The blockchain component provides a secure and transparent record of data generated by various urban systems, such as transportation, energy, and public safety. AI models are then applied to this data to optimize service delivery, predict trends, and improve resource allocation. Smart contracts automate key processes, such as traffic management and energy distribution, ensuring efficiency and fairness. Our case studies in urban planning and infrastructure management demonstrate that the decentralized AI and blockchain framework significantly improves the reliability and efficiency of smart city operations, making it a viable solution for managing the complexities of modern urban environments.
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