COGNITIVE NETWORKS; Contents; Contributors; Foreword 1; Foreword 2; Preface; Acknowledgements; Introduction; 1 Biologically Inspired Networking; 2 The Role of Autonomic Networking in Cognitive Networks; 3 Adaptive Networks; 4 Self-Managing Networks; 5 Machine Learning for Cognitive Networks: Technology Assessment and Research Challenges; 6 Cross-Layer Design and Optimization in Wireless Networks; 7 Cognitive Radio Architecture; 8 The Wisdom of Crowds: Cognitive Ad Hoc Networks; 9 Distributed Learning and Reasoning in Cognitive Networks: Methods and Design Decisions.
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SUMMARY OR ABSTRACT
Text of Note
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.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Wiley InterScience
Stock Number
10.1002/9780470515143
OTHER EDITION IN ANOTHER MEDIUM
Title
Cognitive networks.
International Standard Book Number
9780470061961
TOPICAL NAME USED AS SUBJECT
Autonomic computing.
Software radio.
Wireless communication systems.
Autonomic computing.
Software radio.
TECHNOLOGY & ENGINEERING-- Mobile & Wireless Communications.