Torrent details for "Juneja S. Edge Computing and Aerial Platforms 2026" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
70.6 MB
Info Hash:
46639F1049D489360A3AB568CAB6C7AEEA5403E8
Added By:
Added:
Feb. 26, 2026, 6:10 a.m.
Stats:
|
(Last updated: Feb. 26, 2026, 6:10 a.m.)
| File | Size |
|---|---|
| ['Juneja S. Edge Computing and Aerial Platforms 2026.pdf'] | 0 bytes |
NOTE
SOURCE: Juneja S. Edge Computing and Aerial Platforms 2026
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format 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. Traditional cloud-centric architectures, while powerful, often struggle to meet the stringent requirements of ultra-low latency, real-time responsiveness, energy efficiency, and reliability demanded by modern cyber-physical systems. In this context, edge computing has emerged as a paradigm-shifting approach by bringing computation and intelligence closer to data sources and end users. Parallel to this advancement, aerial platforms—including unmanned aerial vehicles (UAVs), drones, high-altitude platforms (HAPs), and aerial base stations—have gained significant attention for their flexibility, mobility, and rapid deployability. These platforms are increasingly being utilized across diverse application domains such as smart cities, precision agriculture, disaster management, environmental monitoring, intelligent transportation, defense, healthcare delivery, and next-generation wireless networks. When combined with edge computing, aerial platforms enable a powerful synergy that supports real-time data processing, autonomous decision-making, scalable connectivity, and mission-critical operations in dynamic and resource-constrained environments. This book is intended for researchers, academicians, industry professionals, and postgraduate students who seek a deeper understanding of edge-enabled aerial computing systems. By presenting both fundamental concepts and state-of-the-art research contributions, this volume aspires to bridge the gap between theory and practice, while also identifying open research challenges and future directions in this rapidly evolving domain
×