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The Convergence of Artificial Intelligence and the Internet of Things for Next-Generation Smart Systems
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Author(s): G. Swetha (RR Institute of Technology, Bangalore, India), M. S. Veena (RR Institute of Technology, Bangalore, India), Tejaswini Krishnamurthy (RR Institute of Technology, Bangalore, India), S. Druva Kumar (Dayananda Sagar College of Engineering, India), M. Shruthi (Dayananda Sagar College of Engineering, India), S. Vishwanatha (Jain University, India), N. Raghu (Jain University, India)and V. N. Trupti (Jain University, India)
Copyright: 2026
Pages: 26
Source title:
Navigating Cybersecurity and Privacy in the Evolution of Smart Urban Ecosystems
Source Author(s)/Editor(s): Asmaa Mahfoud Alhakimi (Management and Science University, Malaysia), Safaa Najah Saud Al-Humairi (Management and Science University, Malaysia), Saddaf Rubab (University of Sharjah, UAE)and I. Wayan Budi Sentana (Bali State Polytechnic, Indonesia)
DOI: 10.4018/979-8-3373-4455-3.ch011
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Abstract
The convergence of Artificial Intelligence and the Internet of Things has paved the way for the development of smart environments that are efficient, adaptive and sustainable. While IoT enables vast networks of interconnected sensors, device and actuators to capture real-time data, AI provides the intelligence needed to process, analyze and act upon this information. Together, they transform reactive systems into proactive, context-aware ecosystems capable of decision-making and automation. This chapter presents a comprehensive framework for integrating AI with IoT, highlighting its architecture, component and applicability across domains such as smart cities, healthcare, agriculture, transportation and industrial automation. The framework emphasizes enabling technologies including edge, fog, and cloud computing, communication protocols and open platforms like FIWARE, which collectively support scalability, interoperability and real-time analytics.
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