无线自组织网络和传感器网络：架构、协议与应用

English | 2025 | ISBN: 9781032718347 | 412 pages | True PDF EPUB | 21.77 MB

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.

This book

Discusses mobile ad-hoc network routing issues and challenges with node mobility and resource limitations. Covers the internet of vehicles, autonomous vehicle architecture, and design of heterogeneous wireless sensor networks. Presents various technologies of ad-hoc networks, use of machine learning, and deep learning techniques in wireless sensor networks. 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. Highlights mathematical modeling and analysis of routing protocols for ad-hoc networks and underwater sensor networks.

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.

这本书介绍了无线自组网和传感器网络的理论与实验方法、定性与定量分析以及模拟。它进一步解释了水下传感器网络中的功率和路由优化问题，以及水下传感器网络中的高级跨层框架、安全挑战及安全问题，并使用机器学习和深度学习技术实现网络安全。 这本书 讨论了移动自组网中节点移动性和资源限制引起的路由问题与挑战。 涵盖了智能车辆、自动驾驶系统架构和异质无线传感器网络的设计。 介绍了各种自组网技术，以及在无线传感器网络中应用的机器学习和深度学习技术。 阐明了针对移动自组网、车辆自组网、飞行自组网及自动驾驶车辆的信息传播安全机制的最新进展。 强调了对自组网和水下传感器网络路由协议数学模型和分析。 这本书主要面向计算机科学与工程、信息技术、电气工程以及电子通信工程等领域中的本科生、研究生、研究人员和技术学者。

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