Description: Robustness Optimization for Iot Topology by Qiu, Tie, ISBN 981169611X, ISBN-13 9789811696114, Brand New, Free shipping in the US The IoT topology defines the way various components communicate with each other within a network. Topologies can vary greatly in terms of security, power consumption, cost, and complexity. Optimizing the IoT topology for different applications and requirements can help to boost the network’s performance and save costs. More importantly, optimizing the topology robustness can ensure security and prevent network failure at the foundation level. In this context, this book examines the optimization schemes for topology robustness in the IoT, helping readers to construct a robustness optimization framework, from self-organizing to intelligent networking. The book provides the relevant theoretical framework and the latest empirical research on robustness optimization of IoT topology. Starting with the self-organization of networks, it gradually moves to genetic evolution. It also discusses the application of neural networks and reinforcement learning to endow the node with self-learning ability to allow intelligent networking. This book is intended for students, practitioners, industry professionals, and researchers who are eager to comprehend the vulnerabilities of IoT topology. It helps them to master the research framework for IoT topology robustness optimization and to build more efficient and reliable IoT topologies in their industry.
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Book Title: Robustness Optimization for Iot Topology
Number of Pages: Xiv, 214 Pages
Language: English
Publication Name: Robustness Optimization for Iot Topology
Publisher: Springer
Subject: Systems Architecture / General, Engineering (General), Intelligence (Ai) & Semantics, Networking / General
Publication Year: 2023
Item Weight: 12.5 Oz
Type: Textbook
Subject Area: Computers, Technology & Engineering
Author: Ning Chen, Songwei Zhang, Tie Qiu
Item Length: 9.3 in
Item Width: 6.1 in
Format: Trade Paperback
