Deep Learning in Ad-Hoc Wireless Networks (Studies in Big Data #172)

By: Gokhan Altan and Ipek Abasikeleş Turgut

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Synopsis: This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection. By combining advanced AI models with real-world network scenarios, the chapters explore novel solutions for improving network reliability, security, and efficiency. Readers benefit from a multidisciplinary approach that bridges deep learning and wireless communication, offering both theoretical insights and practical frameworks. Targeting researchers, engineers, and graduate students, this work serves as a valuable resource for understanding and implementing deep learning strategies to optimize modern wireless systems. Whether improving IoT networks, securing controller area networks, or enabling smart mobility, the book provides actionable knowledge on Deep Learning applications for solving current and future challenges in ad-hoc wireless networks.

Book Quality:: Publisher Quality
ISBN-13:: 9783031860751
Related ISBNs:: 9783031860744
Publisher:: Springer Nature Switzerland
Date of Addition:: 04/28/25
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Gokhan ALTAN
Edited by:: Ipek ABASIKELEŞ TURGUT