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Title Energy-Efficient Blockchain-Integrated Iot And Ai Framework For Sustainable Urban Microclimate Management
ID_Doc 23458
Authors Krishnaraj N.; Alsolai H.; Al-Wesabi F.N.; Said Y.; Alqazzaz A.; Priya S.G.; Shanmathi S.; Narmada B.
Year 2025
Published Sustainable Computing: Informatics and Systems, 47
DOI http://dx.doi.org/10.1016/j.suscom.2025.101137
Abstract The increase of urban areas has difficulties in managing microclimate conditions in green city to improve data security, resource efficiency, and predictive accuracy. This research integrates IoT, blockchain, and AI technologies with nature-inspired solutions like Sponge City and Biophilic Design precept to tackle these challenges. The proposed model utilizes blockchain meshwork to vouch unattackable and tamper-proof data direction. The fog calculation facilitates localized data pre- processing, reduced response time and reduction in bandwidth usage. The module for predictive analytics, AI and LSTM network enhances the preciseness of mastery actions in superintend microclimates, providing significant improvements in environmental control systems. This study ensures urban sustainability and management in real-time and adaptive environmental control. © 2025
Author Keywords AI; Biophilic Design; Blockchain; Fog computing; IoT; Microclimate control; Smart city management; Sponge City; Urban sustainability


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