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portada Robustness Optimization for Iot Topology
Type
Physical Book
Author
Publisher
Language
English
Pages
214
Format
Hardcover
Dimensions
23.4x15.6x1.4 cm
Weight
0.50 kg.
ISBN13
9789811696084
Categories

Robustness Optimization for Iot Topology

Ning Chen (Author) · Tie Qiu (Author) · Songwei Zhang (Author) · Springer · Hardcover

Robustness Optimization for Iot Topology - Qiu, Tie ; Chen, Ning ; Zhang, Songwei

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Synopsis "Robustness Optimization for Iot Topology"

Chapter 1 Introduction 1.1 Context and motivation 1.2 Characteristics of IoT topology 1.3 Attack modes against network topology 1.4 Book organization Chapter 2 Preliminaries of robustness optimization 2.1 Metrics of topology robustness 2.2 Related work 2.3 Existing challanges Chapter 3 Robustness optimization based on self-organization 3.1 Path planning based on the greedy principle 3.2 Construction of highly robust topology 3.3 Robust time synchronization scheme Chapter 4 Evolution-based robustness optimization 4.1 Robustness optimization scheme with multi-population co-evolution 4.2 An adaptive robustness evolution algorithm with self-competition Chapter 5 Robustness optimization based on swarm intelligence 5.1 Topology optimization strategy with ant colony algorithm 5.2 Topology optimization strategy with particle swarm algorithm Chapter 6 Robustness optimization based on multi-objective cooperation 6.1 Multi-objective optimization based on layered-cooperation Chapter 7 Robustness optimization based on self-learning 7.1 Malicious node identification scheme based on gaussian mixture model 7.2 Highly robust topology learning model based on neural network 7.3 Highly robust topology generation strategy based on time series convolutional network Chapter 8 Robustness optimization based on node self-learning 8.1 Node self-learning mechanism based on reinforcement learning Chapter 9 Future research directions 9.1 Homogeneous networks 9.2 Heterogeneous networks 9.3 Smart IoT

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