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Robustness Optimization for Iot Topology

Tie Qiu, Ning Chen, Songwei Zhang
Livre relié | Anglais
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Description

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

Spécifications

Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
214
Langue:
Anglais

Caractéristiques

EAN:
9789811696084
Date de parution :
12-06-22
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
156 mm x 234 mm
Poids :
498 g

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