AI and IoT in Edge Computing for Climate Analysis and Sustainability

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Author(s): Vidya M. J. (School of Computer Science and Engineering, RV University, Bengaluru, India), Veena Divya Krishnappa (Department of Electronics and Instrumentation Engineering, RV College of Engineering, Bengaluru, India)and Rajasree P. M. (Department of Electronics and Instrumentation Engineering, RV College of Engineering, Bengaluru, India)
Copyright: 2025
Pages: 28
Source title: Enhancing Data-Driven Electronics Through IoT
Source Author(s)/Editor(s): Bhagwan Das (Centre for Artificial Intelligence Research and Optimization (AIRO), Torrens University Australia, Australia), Muhammad Zakir Shaikh (Universidad de Málaga, Spain), Samreen Hussain (Dawood University of Engineering and Technology, Pakistan)and Enrique Nava Baro (Universidad de Málaga, Spain)
DOI: 10.4018/979-8-3693-5448-3.ch005

Keywords: Data Analysis and Statistics / Data Management / Engineering Science Reference / Knowledge Management and Library Science

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Abstract

AI, IoT, and edge computing are integrated to perform sustainability and climate analyses. AI has been employed in modeling and weather prediction, while IoT performs the gathering of real-time environmental data. The approach guarantees sensitive data processing locally with less bandwidth and delay. It provides real-time decision making, enhanced accuracy of climate data, and faster processing. However, issues such as data privacy, interoperability, and technical complexity have also been observed. Standard protocols, scalable infrastructure, and best practices have been done for data management.

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AI and IoT in Edge Computing for Climate Analysis and Sustainability

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