Author Description

<p>The book presents theoretical and experimental approaches, quantitative and qualitative analyses, and simulations in wireless ad-hoc and sensor networks. It further explains the power and routing optimization in underwater sensor networks, advanced cross-layer framework, challenges and security issues in underwater sensor networks, and the use of machine learning and deep learning techniques for security implementations in wireless ad-hoc and sensor networks.</p> <p>This book:</p> <ul> <li>Discusses mobile ad-hoc network routing issues and challenges with node mobility and resource limitations</li> <li>Covers the internet of vehicles, autonomous vehicle architecture, and design of heterogeneous wireless sensor networks</li> <li>Presents various technologies of ad-hoc networks, use of machine learning, and deep learning techniques in wireless sensor networks</li> <li>Illustrates recent advancements in security mechanisms for information dissemination in mobile ad-hoc networks, vehicular ad-hoc networks, flying ad-hoc networks, and autonomous vehicles</li> <li>Highlights mathematical modeling and analysis of routing protocols for ad-hoc networks and underwater sensor networks</li> </ul> <p>It is primarily written for undergraduate and graduate students, researchers, and academicians in the fields of computer science and engineering, information technology, electrical engineering, and electronics and communications engineering.</p>