Research and Markets: Cognitive Networks: Towards Self-Aware Networks.

DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c61207) has announced the addition of Cognitive Networks: Towards Self-Aware Networks to their offering.

The aim of this book is to provide a state-of-the-art guide to the emerging field of cognitive networks and their pivotal role in ubiquitous computing, seamless mobility, and ad-hoc and sensor networks. Written by a collection of expert researchers in this emerging field the book presents the first overview of cognitive networks. It begins by introducing the subject of cognitive networks, the evolution of networking, and the growth of biologically inspired computing. It goes on to discuss a range of topics such as: intelligent network management, QOS, security, privacy and trust management, new applications and services and the future directions of cognitive networks.

About the Author

Qusay Mahmoud holds a B.Sc. in Data Analysis, a Masters degree in Computer Science, and a PhD in Computer Science. He has been working in the academia for over 9 years teaching courses on Network Computing, Distributed Systems, Network Programming, Java Programming, Software Engineering, Software Agents. Between 1999-2001 he taught courses for developers at Nortel Networks on Java programming, RMI, CORBA, J2EE, and building software components using JavaBeans. He has helped to organize numerous events such the Track on Handheld Computing, part of the ACM Symposium on Applied Computing in 2005 and 2006 and is the Program Vice Chair (Semantic Services) for IEEE AINA, Vienna, Austria, 2006. His research interests include distributed systems, network management middleware computing, agent technology, wireless and mobile computing, and service-oriented computing.

Content Outline:
Foreword (Joseph Mitola III).
Foreword (Sudhir Dixit).
Preface.
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.

For more information visit http://www.researchandmarkets.com/reports/c61207