TY  - BOOK
AU  - Mohit Kumar
AU  - Srivastava,Gautam
AU  - Singh,Ashutosh Kumar
AU  - Dubey,Kalka
TI  - AI-based advanced optimization techniques for edge computing
T2  - Advances in learning analytics for intelligent cloud-IoT systems
SN  - 9781394287031
U1  - 006.31 
PY  - 2025///
CY  - Hoboken
PB  - John Wiley & Sons, Inc.
KW  - Edge computing-Technological innovations
KW  - Machine learning
N1  - Includes bibliographical references and index
N2  - The book offers cutting-edge insights into AI-driven optimization algorithms and their crucial role in enhancing real-time applications within fog and Edge IoT networks and addresses current challenges and future opportunities in this rapidly evolving field. This book focuses on artificial intelligence-induced adaptive optimization algorithms in fog and Edge IoT networks. Artificial intelligence, fog, and edge computing, together with IoT, are the next generation of paradigms offering services to people to improve existing services for real-time applications. Over the past few years, there has been rigorous growth in AI-based optimization algorithms and Edge and IoT paradigms. However, despite several applications and advancements, there are still some limitations and challenges to address including security, adaptive, complex, and heterogeneous IoT networks, protocols, intelligent offloading decisions, latency, energy consumption, service allocation, and network lifetime
ER  -