Self-Organization and Green Applications in Cognitive Radio Networks

Self-Organization and Green Applications in Cognitive Radio Networks provides recent research on the developments of efficient cognitive network topology. The most current procedures and results are presented to demonstrate how developments in this area can reduce complications, confusion, and even costs.  The book also identifies future challenges that are predicted to arrive in the Cognitive Radio Network along with potential solutions.  This innovative publication is unique because it suggests green, energy efficient and cost efficient resolutions to the inevitable challenges in the network. 

Topics Covered
The many academic areas covered in this publication include, but are not limited to:
Cognitive Informatics
Cognitive Radio Networks
Energy Management
Green Communications
Network Security
Organizational Behavior
Wireless Systems
Reviews and Testimonials
In a cycle of sensing, learning, and adapting, cognitive radio can jump between channels according to temporal and spatial opportunities and so, at least in the near term, alleviate congestion in the scarce spectrum. Here electrical engineers present advanced research results into cognitive networks that combine network architectural design with the necessary technical modifications to deliver high quality services. The instruction manual provides practicing engineers with immediate solutions that incorporate new concepts and techniques. Among the topics are the iterative optimization of energy detector sensing time and periodic sensing interval, a novel spectrum sensing scheduling algorithm, and the secondary use of radio spectrum by high altitude platforms.