Cognitive Networks: Towards Self-Aware Networks

Description

Cognitive networks can dynamically adapt their operational parameters in response to user needs or changing environmental conditions. They can learn from these adaptations and exploit knowledge to make future decisions.

Cognitive networks are the future, and they are needed simply because they enable users to focus on things other than configuring and managing networks. Without cognitive networks, the pervasive computing vision calls for every consumer to be a network technician. The applications of cognitive networks enable the vision of pervasive computing, seamless mobility, ad-hoc networks, and dynamic spectrum allocation, among others.

 

In detail, the authors describe the main features of cognitive networks clearly indicating that cognitive network design can be applied to any type of network, being fixed or wireless. They explain why cognitive networks promise better protection against security attacks and network intruders and how such networks will benefit the service operator as well as the consumer.

Cognitive Networks

• Explores the state-of-the-art in cognitive networks, compiling a roadmap to future research. 
• Covers the topic of cognitive radio including semantic aspects.
• Presents hot topics such as biologically-inspired networking, autonomic networking, and adaptive networking.
• Introduces the applications of machine learning and distributed reasoning to cognitive networks.  
• Addresses cross-layer design and optimization.
• Discusses security and intrusion detection in cognitive networks.

Cognitive Networks is essential reading for advanced students, researchers, as well as practitioners interested in cognitive & wireless networks, pervasive computing, distributed learning, seamless mobility, and self-governed networks.

 

With forewords by Joseph Mitola III as well as Sudhir Dixit.

Table of Contents

Foreword 1.

Foreword 2.

Preface.

Acknowledgements.

Introduction.

Chapter 1: Biologically Inspired Networking.

 

Chapter 2: The Role of Autonomic Networking in Cognitive Networks.

Chapter 3: Adaptive Networks.

Chapter 4: Self-Managing Networks.

Chapter 5: Machine Learning for Cognitive Networks: Technology Assessment and Research Challenges.

Chapter 6: Cross-Layer Design and Optimization in Wireless Networks.

Chapter 7: Cognitive Radio Architecture.

Chapter 8: The Wisdom of Crowds: Cognitive Ad hoc Networks.

Chapter 9: Distributed Learning and Reasoning in Cognitive Networks: Methods and Design Decisions.

Chapter 10: The Semantic Side of Cognitive Radio.

Chapter 11: Security Issues in Cognitive Radio Networks.

Chapter 12: Intrusion Detection in Cognitive Networks.

Chapter 13: Erasure Tolerant Coding for Cognitive Radios.

Index.

描述

認知網路可以根據使用者需求或環境條件的變化，動態調整其操作參數。它們可以從這些調整中學習並利用知識做出未來的決策。

認知網路是未來的趨勢，它們之所以必要，是因為它們使使用者能夠專注於除了配置和管理網路之外的事情。沒有認知網路，普遍計算的願景要求每個消費者都成為網路技術人員。認知網路的應用使得普遍計算、無縫移動、即時網路和動態頻譜分配等願景成為可能。

詳細地說，作者清楚地描述了認知網路的主要特點，明確指出認知網路設計可以應用於任何類型的網路，無論是固定還是無線。他們解釋了為什麼認知網路能夠更好地防範安全攻擊和網路入侵者，以及這樣的網路將如何使服務運營商和消費者受益。

《認知網路》

- 探索認知網路的最新技術，編制了未來研究的路線圖。
- 包括認知無線電的語義方面。
- 提出了生物啟發網路、自主網路和適應性網路等熱門話題。
- 引入機器學習和分散推理在認知網路中的應用。
- 討論了跨層設計和優化。
- 討論了認知網路中的安全和入侵檢測。

《認知網路》是高級學生、研究人員以及對認知和無線網路、普遍計算、分散學習、無縫移動和自治網路感興趣的從業人員的必讀之書。

附有Joseph Mitola III和Sudhir Dixit的序言。

目錄

- 序言1
- 序言2
- 前言
- 致謝
- 引言
- 第1章：生物啟發網路
- 第2章：自主網路在認知網路中的角色
- 第3章：適應性網路
- 第4章：自我管理網路
- 第5章：機器學習在認知網路中的應用：技術評估和研究挑戰
- 第6章：無線網路中的跨層設計和優化
- 第7章：認知無線電架構
- 第8章：群眾的智慧：認知自組網路
- 第9章：分散學習和推理在認知網路中的方法和設計決策
- 第10章：認知無線電的語義方面
- 第11章：認知無線電網路中的安全問題
- 第12章：認知網路中的入侵檢測
- 第13章：認知無線電的容錯編碼
- 索引