AI and ML Techniques in IoT-based Communication A Path to Sustainable Development Goals.

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Title:

Author:

Mishra, Sumita.

ISBN:

9781394337248

Publication Information:

[S.l.]: Wiley, 2026.

Physical Description:

1 online resource (432 p.)

General Note:

Electronic book.

Contents:

Cover -- Half Title Page -- Title Page -- Copyright -- Contents -- Preface -- About the Editors -- Acknowledgments -- About the Companion Website -- Part I: Fundamentals of IoT, AI, and ML for Sustainable Development -- Chapter 1: Introduction to IoT, AI, and ML in Sustainable Communication -- 1.1 Introduction -- 1.2 Foundational Principles of IoT, AI, and ML -- 1.2.1 IoT as the Backbone of Intelligent Communication Systems -- 1.2.1.1 Architectural Overview -- 1.2.1.2 Foundational Capabilities and Communication Technologies -- 1.2.1.3 Scalability, Positioning, and Real-time Processing

1.2.2 AI: Foundations, Evolution, and Role in Sustainable Communication -- 1.2.3 ML: Core Enabler of Intelligent and Sustainable Communication Systems -- 1.3 Synergistic Integration of IoT, AI, and ML for Sustainable Communication Systems -- 1.3.1 Enabling Architecture and Interoperability -- 1.3.1.1 Middleware and Semantic Interoperability -- 1.3.1.2 Distributed Versus Centralized Intelligence -- 1.3.1.3 Interoperability Standards and Protocols -- 1.3.1.4 Role of Digital Twins and System-level Integration -- 1.3.2 Applications in Key Domains -- 1.3.2.1 Healthcare and Internet of Medical Things

1.3.2.2 Sustainable Urban Infrastructure -- 1.3.2.3 Precision Agriculture and Food Security -- 1.4 Challenges in Implementation -- 1.4.1 Data Security and Privacy Concerns -- 1.4.2 Scalability and Interoperability -- 1.4.3 Resource Constraints and Infrastructure Gaps -- 1.4.4 Ethical and Regulatory Issues -- 1.4.5 Real-time Processing and Latency -- 1.4.6 Human Capital and Skills Gap -- 1.5 Emerging Trends and Future Perspectives -- 1.5.1 Edge AI and FL -- 1.5.2 Energy-efficient and Green AI -- 1.5.3 Integration with Industry 4.0 and Cyber-physical Systems

1.5.4 Security and Privacy in Intelligent Systems -- 1.5.5 Hybrid and Multimodal Models for Smart Decision-making -- 1.5.6 Future Outlook -- 1.6 Conclusion -- Chapter 2: AI/ML Techniques for Enhancing IoT-based Communication -- 2.1 Introduction -- 2.2 Background and Fundamentals -- 2.2.1 IoT Communication Technologies Overview -- 2.2.1.1 Low-power Wide Area Networks -- 2.2.1.2 Short-range Wireless Protocols: Wi-Fi, ZigBee, and BLE -- 2.2.1.3 Cellular Technologies and 5G -- 2.2.1.4 Protocol Integration and Interoperability -- 2.2.2 Key Challenges in IoT Communications

2.2.2.1 Scalability and Heterogeneity -- 2.2.2.2 Latency and Real-time Processing -- 2.2.2.3 Energy Efficiency and Resource Constraints -- 2.2.2.4 Congestion and Data Overload -- 2.2.2.5 Security and Protocol Overhead -- 2.3 AI/ML Techniques for Enhancing IoT Communication -- 2.3.1 Intelligent Routing and Path Optimization -- 2.3.1.1 RL and Q-learning in Routing -- 2.3.1.2 DL and Neural Models -- 2.3.1.3 Hybrid and Ensemble ML Models -- 2.3.2 Congestion and Traffic Management -- 2.3.2.1 Predictive Congestion Control Using Recurrent Neural Networks and Long Short-term Memory

Abstract:

An insightful and up-to-date discussion of how to use contemporary IoT and AI technology to advance sustainable development initiatives In AI and ML Techniques in IoT-based Communication: A Path to Sustainable Development Goals, a team of distinguished editors presents an astute discussion of the importance of connected devices and intelligent algorithms in the generation of innovative solutions to global challenges. The book explains how to exploit the synergy between Internet of Things (IoT) and artificial intelligence (AI) technologies to further the United Nations' Sustainable Development Goals (SDGs). Readers will learn how to enable smarter, data-driven approaches to difficult global problems, including climate change, inadequate health care delivery, and energy inefficiency. Expert contributors explore emerging trends, potential pitfalls, and likely future developments in IoT, AI, and machine learning (ML) in sustainable development. Additional topics include: A thorough introduction to IoT communication protocols and standards relevant to sustainable development Comprehensive explorations of artificial intelligence and machine learning techniques for enhancing IoT-based communication Practical discussions of water resource and energy management, sustainable agriculture, and sustainable transportation and logistics Complete treatments of AI-driven communication optimization for sustainability Perfect for academics, researchers, industry practitioners, and policymakers with an interest in IoT, AI, ML, and their applications to sustainable development, AI and ML Techniques in IoT-based Communication will also benefit professionals working at non-profit and non-governmental organizations focused on advancing sustainable development initiatives.

Reading Level:

Professional and scholarly.

Local Note:

John Wiley and Sons

Subject Term:

Intelligence (AI) & Semantics.

Mobile & Wireless Communications.

TECHNOLOGY & ENGINEERING.

COMPUTERS.

Genre:

Electronic books.

Added Author: