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Cognitive Networks: Towards Self-Aware Networks

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Cognitive Networks: Towards Self-Aware Networks

Qusay Mahmoud (Editor)

ISBN: 978-0-470-51515-0 August 2007 368 Pages

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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.

Contributors xi

Foreword 1 xv

Foreword 2 xix

Preface xxi

Acknowledgements xxiii

Introduction xxv

1 Biologically Inspired Networking 1
Kenji Leibnitz, Naoki Wakamiya and Masayuki Murata

1.1 Introduction 1

1.2 Principles of Biologically Inspired Networking 2

1.3 Swarm Intelligence 9

1.4 Evolutionary and Adaptive Systems 14

1.5 Conclusion 19

References 19

2 The Role of Autonomic Networking in Cognitive Networks 23
John Strassner

2.1 Introduction and Background 23

2.2 Foundations of Autonomic Computing 24

2.3 Advances in Autonomic Computing – Autonomic Networking 26

2.4 The FOCALE Architecture 34

2.5 Application to Wired and Wireless Cognitive Networks 44

2.6 Challenges and Future Developments 48

2.7 Conclusions 50

Glossary 50

References 51

3 Adaptive Networks 53
Jun Lu, Yi Pan, Ryota Egashira, Keita Fujii, Ariffin Yahaya and Tatsuya Suda

3.1 Introduction 53

3.2 Dynamic Factors 54

3.3 Network Functions 55

3.4 Representative Adaptation Techniques 59

3.5 Discussion 73

3.6 Conclusion 74

References 74

4 Self-Managing Networks 77
Raouf Boutaba and Jin Xiao

4.1 Introduction: Concepts and Challenges 77

4.2 The Vision and Challenges of Self-Management 78

4.3 Theories for Designing Self-Managing Networks 81

4.4 Self-Management Intelligence: To Know and to Act 83

4.5 Self-Management Advances in Specific Problem Domains 86

4.6 Benchmarking and Validation 90

4.7 Self-Stabilization 91

4.8 Conclusion 92

References 93

5 Machine Learning for Cognitive Networks: Technology Assessment and Research Challenges 97
Thomas G. Dietterich and Pat Langley

5.1 Introduction 97

5.2 Problem Formulations in Machine Learning 99

5.3 Tasks in Cognitive Networking 105

5.4 Open Issues and Research Challenges 113

5.5 Challenges in Methodology and Evaluation 116

5.6 Summary 117

Acknowledgements 118

References 118

6 Cross-Layer Design and Optimization in Wireless Networks 121
Vineet Srivastava and Mehul Motani

6.1 Introduction 121

6.2 Understanding Cross-Layer Design 123

6.3 General Motivations for Cross-Layer Design 124

6.4 A Taxonomy of Cross-Layer Design Proposals 129

6.5 Proposals for Implementing Cross-Layer Interactions 134

6.6 Cross-Layer Design Activity in the Industry and Standards 136

6.7 The Open Challenges 138

6.8 Discussion 141

6.9 Conclusions 143

References 143

7 Cognitive Radio Architecture 147
Joseph Mitola III

7.1 Introduction 147

7.2 CRA I: Functions, Components and Design Rules 158

7.3 CRA II: The Cognition Cycle 174

7.4 CRA III: The Inference Hierarchy 179

7.5 CRA V: Building the CRA on SDR Architectures 187

7.6 Summary and Future Directions 199

References 201

8 The Wisdom of Crowds: Cognitive Ad Hoc Networks 203
Linda Doyle and Tim Forde

8.1 Introduction 203

8.2 Towards Ad Hoc Networks 204

8.3 A Cognitive Ad Hoc Network 206

8.4 The Wisdom of Crowds 211

8.5 Dynamic Spectrum: Scenarios for Cognitive Ad Hoc Networks 214

8.6 Summary and Conclusions 219

References 220

9 Distributed Learning and Reasoning in Cognitive Networks: Methods and Design Decisions 223
Daniel H. Friend, Ryan W. Thomas, Allen B. MacKenzie and Luiz A. DaSilva

9.1 Introduction 223

9.2 Frameworks for Learning and Reasoning 224

9.3 Distributed Learning and Reasoning within an MAS Framework 227

9.4 Sensory and Actuator Functions 236

9.5 Design Decisions Impacting Learning and Reasoning 237

9.6 Conclusion 243

References 244

10 The Semantic Side of Cognitive Radio 247
Allen Ginsberg, William D. Horne and Jeffrey D. Poston

10.1 Introduction 247

10.2 Semantics, Formal Semantics and Semantic Web Technologies 248

10.3 Community Architecture for Cognitive Radio 251

10.4 Device Architecture for Cognitive Radio and Imperative Semantics 261

10.5 An Architecture for Cognitive Radio Applications 265

10.6 Future of Semantics in Cognitive Radio 268

10.7 Conclusion 268

References 268

11 Security Issues in Cognitive Radio Networks 271
Chetan N. Mathur and K. P. Subbalakshmi

11.1 Introduction 271

11.2 Cognitive Radio Networks 272

11.3 Building Blocks of Communication Security 275

11.4 Inherent Reliability Issues 278

11.5 Attacks on Cognitive Networks 279

11.6 Cognitive Network Architectures 285

11.7 Future Directions 286

11.8 Conclusions 289

Acknowledgements 289

References 289

12 Intrusion Detection in Cognitive Networks 293
Hervé Debar

12.1 Introduction 293

12.2 Intrusion Detection 293

12.3 Threat Model 301

12.4 Integrated Dynamic Security Approach 305

12.5 Discussion 310

12.6 Conclusion 311

References 312

13 Erasure Tolerant Coding for Cognitive Radios 315
Harikeshwar Kushwaha, Yiping Xing, R. Chandramouli and K.P. Subbalakshmi

13.1 Introduction 315

13.2 Spectrum Pooling Concept 318

13.3 Overview of Erasure Channels 319

13.4 Traditional Erasure Codes 321

13.5 Digital Fountain Codes 322

13.6 Multiple Description Codes 328

13.7 Applications 329

13.8 Conclusion 330

References 330

Index 333

"This is an important book that provides a well-balanced, well-edited, and well-written digest of an important subject." (Computing Reviews, May 1, 2008)