internetboekhandel.nl
buttons Home pagina Kassa pagina, Winkelwagentje Contact info Email ons
leeg Home pagina Kassa pagina, Winkelwagentje Contact info Email ons Home pagina Gogh
Gogh
Gogh Home pagina Home pagina Kassa pagina, Winkelwagentje Contact info Email ons Besteller 60
 
Nederlands Buitenlands   Alles  Titel  Auteur  ISBN        
Technische wetenschappen
Technische wetenschappen algemeen
Levertijd: 5 tot 11 werkdagen


Cognitive Networks

Towards Self-Aware Networks

€ 145.15

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


Taal / Language : English

Inhoudsopgave:
Contributors xi
Foreword 1 xv
Foreword 2 xix
Preface xi
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
Herv ebar
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
Extra informatie: 
Hardback
368 pagina's
Januari 2007
871 gram
254 x 178 x 25 mm
Wiley-Blackwell us

Levertijd: 5 tot 11 werkdagen