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Hardback

Advancements in Network Restoration for Next-Generation Communication Networks

$677.99
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The text provides a comprehensive study and exploration of the various types, aspects and effects of network failures in xG networks. It delves into the different approaches to network restoration that are most applicable to xG networks. The book presents and analyzes different workable and practical models and solutions to various network failure problems and scenarios in xG telecommunication networks.

This book:

Presents essentials of protecting and recovering modern communication networks from network failures. Showcases examples of network failures and restoration approaches for emerging networks and applications. Covers network restoration solutions in emerging artificial intelligence-driven telecommunication technologies. Explains deep learning solutions for network restoration in next-generation networks. Discusses the modelling and analysis of network restoration for cloud and edge computing networks.

It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering.

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MORE INFO
Format
Hardback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Date
14 April 2026
Pages
400
ISBN
9781032997117

The text provides a comprehensive study and exploration of the various types, aspects and effects of network failures in xG networks. It delves into the different approaches to network restoration that are most applicable to xG networks. The book presents and analyzes different workable and practical models and solutions to various network failure problems and scenarios in xG telecommunication networks.

This book:

Presents essentials of protecting and recovering modern communication networks from network failures. Showcases examples of network failures and restoration approaches for emerging networks and applications. Covers network restoration solutions in emerging artificial intelligence-driven telecommunication technologies. Explains deep learning solutions for network restoration in next-generation networks. Discusses the modelling and analysis of network restoration for cloud and edge computing networks.

It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering.

Read More
Format
Hardback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Date
14 April 2026
Pages
400
ISBN
9781032997117