Cognitive Networks
Wiley-Interscience (Verlag)
978-0-470-06196-1 (ISBN)
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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.
Qusay H. Mahmoud is an Associate Professor in the Department of Computing and Information Science at the University of Guelph, Canada. He holds a PhD in Computer Science from Middlesex University (UK), and an M.Sc. in Computer Science and a B.Sc. in Data Analysis, both from the University of New Brunswick (Canada). Qusay is the author of two books: Distributed Programming with Java (Manning Publications, 1999) and Learning Wireless Java (O'Reilly, 2002), which have been translated to Korean, Simplified Chinese, and Czech. He has been a guest editor at major international journals, and has presented tutorials at international conferences worldwide. His research interests include distributed systems, mobile computing, middleware, agent technology, and service-oriented computing. Qusay is a Senior Member of the IEEE, and Associate Editor of the ACM Transactions on Internet Technology.
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
| Erscheint lt. Verlag | 1.9.2007 |
|---|---|
| Sprache | englisch |
| Maße | 173 x 252 mm |
| Gewicht | 862 g |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Technik ► Nachrichtentechnik | |
| ISBN-10 | 0-470-06196-0 / 0470061960 |
| ISBN-13 | 978-0-470-06196-1 / 9780470061961 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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