Edge Computing and Aerial Platforms
Description
Unlock the groundbreaking potential of aerial-aided edge computing with this comprehensive guide, which provides the expert insights and architectural frameworks needed to revolutionize disaster management, precision agriculture, and smart city initiatives through real-time, data-driven innovation.
In the rapidly evolving landscape of modern technology, the convergence of aerial platforms and edge computing has emerged as a groundbreaking paradigm, offering unparalleled opportunities for innovation and efficiency across diverse domains. This book delves into the forefront of this transformative intersection, providing an insightful exploration of its trends, challenges, and wide-ranging applications. This comprehensive guide navigates the intricate relationship between aerial platforms, such as drones and unmanned aerial vehicles (UAVs), and edge computing infrastructure, demonstrating the synergistic potential they possess. The book will cover the key areas, including the fundamental principles and architecture of edge computing, laying the groundwork for understanding its integration with aerial platforms. From enhancing disaster management and environmental monitoring to revolutionizing precision agriculture and smart city initiatives, the integration of aerial-aided edge computing reshapes how we perceive and interact with the world around us. With contributions from leading experts in the field, this book offers a deep dive into the latest research, methodologies, and technological advancements driving this innovative fusion forward.
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Sapna Juneja, PhD is a Professor and Associate Dean of Research and Development in the Department of Computer Science and Engineering in the KIET Group of Institutions with more than 17 years of teaching experience. She has published six patents and various research articles in the renowned national and international journals. Her research interests include software engineering, computer networks, operating systems, database management systems, and artificial intelligence.
Rajesh Kumar Dhanaraj, PhD is a Professor at Symbiosis International University. He has authored and edited more than 50 books on various cutting-edge technologies, contributed more than 100 papers to international journals, and holds 21 patents. His research interests encompass machine learning, cyber-physical systems, and wireless sensor networks.
Abhinav Juneja, PhD is a Professor and the Head of the Department of Computer Science and Information Technology in the KIET Group of Institutions with more than 21 years of teaching experience. He has more than 55 publications in national and international journals and conferences and has edited two books on emerging areas of machine learning and related technologies. He is a member of the Association for Computing Machinery and the International Association of Engineers.
