Titlebook: Robustness Optimization for IoT Topology; Tie Qiu,Ning Chen,Songwei Zhang Book 2022 The Editor(s) (if applicable) and The Author(s), under

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Robustness Optimization Based on Node Self-Learning,bjective optimization, machine learning, etc. In this chapter, we focus on exploring the self-learning ability of topological nodes to improve the dynamic optimization ability of network topology. Furthermore, we adopt a deep deterministic reinforcement learning policy model (DDLP) to improve the dy

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Preliminaries of Robustness Optimization,mportant for network topology. Nevertheless, robustness optimization algorithms are essential for IoT applications to provide robust communication supports. This chapter outlines the preliminaries of related works about the robustness optimization for IoT applications, which is better for readers to easily understand the content of the book.

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Book 2022ower 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

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Robustness Optimization Based on Self-Organization, nodes within the communication range is a problem to be studied in this chapter. According to the characteristics of node self-organization communication, this chapter introduces solutions to improve network robustness from three aspects: path planning, topology construction, and time synchronization.

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Robustness Optimization Based on Node Self-Learning,namic optimization ability of network topology, which regards the network topology as learning environment to train nodes’ learning behaviors. Experimental results show that DDLP has better optimization performance in robustness optimization when compared to other existing algorithms.

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Book 2022he 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 h