Cognitive Networks Applications and Deployments

A cognitive network makes use of the information gathered from the network in order to sense the environment, plan actions according to the input, and make appropriate decisions using a reasoning engine. The ability of cognitive networks to learn from the past and use that knowledge to improve future decisions makes them a key area of interest for anyone whose work involves wireless networks and communications. Cognitive Networks: Applications and Deployments examines recent developments in cognitive networks from the perspective of cutting-edge applications and deployments. Presenting the contributions of internationally renowned experts, it supplies complete and balanced treatment of the fundamentals of both cognitive radio communications and cognitive networks-together with implementation details. The book includes case studies and detailed descriptions of cognitive radio platforms and testbeds that demonstrate how to build real-world cognitive radio systems and network architectures. It begins with an introduction to efficient spectrum management and presents a survey on joint routing and dynamic spectrum access in cognitive radio networks.
Next, it examines radio spectrum sensing and network coding and design. It explores intelligent routing in graded cognitive networks and presents an energy-efficient routing protocol for cognitive radio ad hoc networks. The book concludes by considering dynamic radio spectrum access and examining vehicular cognitive networks and applications. Presenting the latest standards and spectrum policy developments, the book's strong practical orientation provides you with the understanding you will need to participate in the development of compliant cognitive systems.

INTRODUCTION Efficient Spectrum Management: Challenges and Solutions; Tarek M. Salem, Sherine M. Abdel-Kader, Salah M. Abdel-MaGeid, and Mohamed ZakiA Survey on Joint Routing and Dynamic spectrum Access in Cognitive Radio Networks; Xianzhong Xie, Helin Yang, and Athanasios V. VasilakosNeighbor Discovery for Cognitive Radio Networks; Athar Ali Khan, Mubashir Husain Rehmani, and Yasir SaleemSPECTRUM SENSING Time-Domain Cognitive Sensor Networking; Stefano Busanelli, Gianluigi Ferrari, Alessandro Colazzo, and Jean-Michel DricotSpectrum Sensing in Cognitive Wireless Networks; Danda B. Rawat and Chandra BajracharyaCollaborative Spectrum Sensing Technique; Ashish Bagwari and Geetam Singh TomarNETWORK CODING AND DESIGNRadioelectric Channel Modeling and Impact on Global Wireless System Design; Francisco Falcone, Leire Azpilicueta, José Javier Astráin, and Jesús VilladangosNetwork Coding: An Optimized Solution for Cognitive Radio Networks; Muhammad Zubair Farooqi, Salma Malik Tabassum, Mubashir Husain Rehmani, and Yasir SaleemToward an Autonomic Cognitive Radio Platform; Youssef Nasser, Mariette Awad, Ali Yassin, and Youssef A. JaffalROUTINGIntelligent Routing in Graded Cognitive Networks; T. R. Gopalakrishnan Nair and Kavitha SoodaEnergy-Efficient Routing Protocol for Cognitive Radio Ad Hoc Networks: A Q-Learning Approach; Ling Hou, K. H. Yeung, and Angusk Y. WongDYNAMIC RADIO SPECTRUM ACCESSA Novel Opportunistic Spectrum Access Protocol Based on Transmission–Throughput Trade-Off for Cognitive Radio Networks; Shaojie Zhang, Haitao Zhao, Shengchun Huang, and Shan WangA Cognitive Algorithm based on the Weather Conditions to Enhance Wireless Outdoor Communications; Diana Bri, Miguel Garcia, Jaime Lloret, and Francisco RamosVEHICULAR COGNITIVE NETWORKS AND APPLICATIONSCognitive Handover for Vehicular Heterogeneous Networks: Issues and Challenges; Ali Safa Sadiq, Kamalrulnizam Abu Bakar, Kayhan Zrar Ghafoor, Jaime Lloret, and Norshelia Binti FisalCognitive Radio-Enabled Vehicular Networking for Transportation Cyber-Physical Systems; Danda B. Rawat, Chandra Bajracharya, Jaime Lloret, and Kayhan Zrar GhafoorIndex