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Cognitive radio : an enabler for Internet of Things /
Internet of Things (IoT) deals with the interconnection of devices that can communicate with each other over the internet. Currently, several smart systems have evolved with the evolution in IoT. Cognitive Radio - an enabler for Internet of Things is a research level subject for all communication en...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Gistrup, Denmark :
River Publishers,
[2017]
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| Colección: | River Publishers series in communications.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Shanmugavel, S., |e author. | |
| 245 | 1 | 0 | |a Cognitive radio : |b an enabler for Internet of Things / |c S. Shanmugavel (Professor, National Engineering College, Kovilpatti, India), M.A. Bhagyaveni (Professor, College of Engineering, Guindy, Anna University, Chennai, India), R. Kalidoss (Professor, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India). |
| 264 | 1 | |a Gistrup, Denmark : |b River Publishers, |c [2017] | |
| 264 | 4 | |c Ã2017 | |
| 300 | |a 1 online resource | ||
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| 490 | 1 | |a River Publishers series in communications | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Front Cover -- Half Title Page -- RIVER PUBLISHERS SERIES IN COMMUNICATIONS -- Title Page -- Cognitive Radio -- An Enabler for Internet of Things -- Copyright Page -- Contents -- Preface -- Acknowledgements -- List of Figures -- List of Tables -- List of Abbreviations -- Chapter 1 -- Introduction -- 1.1 Features and Application of IoT -- 1.2 Enabling Technologies and Protocols for IoT -- 1.2.1 RFID and Near-Field Communication (NFC) -- 1.2.2 M2MTechnologies -- 1.2.3 Naming and Addressing Schemes for IoT -- 1.2.4 Data Storage and Analysis Techniques -- 1.2.5 Cognitive Radio for IoT and M2M -- 1.3 Requirement and Challenges of IoT -- 1.3.1 Heterogeneity Issues -- 1.3.2 Flexible, Dynamic and Efficient Networking and Communication -- 1.3.3 Self-Organization, Re-Configurability and Automaticity -- 1.3.4 Energy Efficiency -- 1.3.5 Cooperative and Ambient Intelligence -- Chapter 2 -- Software Defined Radio -- 2.1 Introduction -- 2.2 Definition of SDR -- 2.2.1 Software Controlled Radio -- 2.2.2 Software Defined Radio -- 2.3 Levels of SDR -- 2.4 SDRWaveform Portability -- 2.5 SDR Security -- 2.5.1 SDR Interoperability Testing -- 2.5.2 SDR Hardware -- 2.6 Software Radio Functional Architecture -- 2.6.1 The Software Radio Model -- 2.7 Classes of Software Defined Radio (SDR) -- 2.8 Software Communications Architecture (SCA) -- 2.8.1 SCA Basics -- 2.8.2 COBRA -- 2.8.3 SCA Compliance and Testing -- Chapter 3 -- Cognitive Radio -- 3.1 Introduction -- 3.2 Understanding of Cognitive Radio -- 3.3 Cognitive Radio Architecture -- 3.4 Cognitive Radio Characteristics -- 3.4.1 Primary and Secondary Users -- 3.5 Cognitive Radio Environment -- 3.6 Types of Cognitive Radios -- 3.6.1 Procedural CRs -- 3.6.2 Ontological CRs -- 3.7 Cognitive Radio Networks -- 3.7.1 Infrastructure (Centralized) CRNs -- 3.7.2 Ad-hoc Mode CRNs -- 3.8 How Cognitive Radio Empowers Internet of Things. | |
| 505 | 8 | |a 3.9 Challenges -- 3.9.1 Spread Spectrum Primary Users -- 3.9.2 Hidden Node/Sharing Issues -- 3.9.3 Sensing Time -- 3.9.4 Other Challenges -- Chapter 4 -- Next Generation Networks -- 4.1 Introduction -- 4.2 Classical Hypothetical Analysis of Spectrum Sensing -- 4.3 Transmitter Detection (Non-Cooperative Detection) -- 4.4 Matched Filter Detection -- 4.5 Energy Detection -- 4.6 Cyclostationary Feature Detection -- 4.7 Cooperative Detection -- 4.8 Interference Based Detection -- 4.9 Neyman Pearson Fusion Rule for Spectrum Sensing in Cognitive Radio -- 4.10 Bayesian Approach for Spectrum Sensing -- 4.11 Optimal Spectrum Sensing by Using Kullback Leibler Divergence -- 4.11.1 System Model -- 4.11.2 Spectrum Sensing Using KLD -- 4.12 Spectrum Sensing Challenges -- Chapter 5 -- Cognitive Radio for Upper Layers -- 5.1 Spectrum Management -- 5.1.1 Spectrum Analysis -- 5.2 Spectrum Decision -- 5.2.1 Challenges Faced by Spectrum Management -- 5.3 Spectrum Mobility -- 5.3.1 Spectrum Handoff -- 5.4 Spectrum Mobility Challenges in xG Networks -- 5.5 Spectrum Sharing -- 5.6 Overview of Spectrum Sharing Techniques -- 5.7 Inter-network Spectrum Sharing -- 5.8 Centralized Inter-Network Spectrum Sharing -- 5.9 Distributed Inter-Network Spectrum Sharing -- 5.10 Challenges to Spectrum Sharing -- 5.10.1 Common Control Channel (CCC) -- 5.10.2 Dynamic Radio Range -- 5.10.3 Spectrum Unit -- 5.11 Upper Layer Issues -- 5.11.1 Routing Challenges -- 5.12 Transport Layer Challenges -- 5.13 Cross-Layer Challenges in Spectrum Management -- 5.14 Cross-Layer Challenges in Spectrum Handoff -- 5.15 Cross-Layer Challenges in Spectrum Sharing -- 5.16 Cross-Layer Challenges in Upper Layers -- 5.17 MIMO Cognitive Radio -- Chapter 6 -- Standards for Cognitive Radio IEEE 802.22 Wireless Regional Area Network -- 6.1 Introduction -- 6.2 IEEE 802.22 Wireless Regional Area Network. | |
| 505 | 8 | |a 6.2.1 Importance of IEEE 802.22 -- 6.2.2 Topology of IEEE 802.22 -- 6.2.3 Service Capacity and Coverage -- 6.3 Physical Layer -- 6.4 MAC Layer -- 6.4.1 Super Frame Structure -- 6.5 Sensing in IEEE 802.22 -- 6.6 IEEE 802.22 Spectrum Measurements -- 6.7 Turnaround Time Problems -- 6.8 Modified Duplex Technique -- 6.9 Simulation Results -- 6.9.1 Representation of the Cells -- 6.9.2 Performance of the Modified Duplex System -- 6.9.3 Variation in the Number of Users -- 6.10 Methodology for Idle Time Calculation -- 6.11 CTS Interference in IEEE 802.22 Wran Networks -- 6.12 CTS Interfrence Mitigation in IEEE 802.22 Wran Networks -- 6.12.1 System Model and Its Elements -- 6.13 Interference Scenarios -- 6.13.1 Desired Cell in Uplink -- 6.13.2 Desired Cell in Downlink -- 6.14 Location Based Duplex Scheme -- 6.14.1 Mathematical Model -- 6.15 Performance Analysis -- 6.15.1 CDF for Varying Inner Cell Radii -- 6.15.2 Variation of the Inter-Cell Distance -- 6.15.3 Variation in the Number of Users -- 6.15.4 Single User in the Desired Cell -- Chapter 7 -- MATLAB Programs for Spectrum Sensing Technqiues -- 7.1 Energy Detection -- 7.2 Matched Filter Detection -- 7.3 Cyclostationary Feature Detection -- 7.4 Co-Operative Spectrum Sensing -- 7.5 Introduction & Specifications of USRP -- 7.6 USRP B200/B210 -- 7.7 Experiment-Detection of Spectrum Holes Using USRP -- 7.8 Experiment: Spectrum Sensing Using WARP -- Bibliography -- Index -- About the Authors -- Back Cover. | |
| 520 | |a Internet of Things (IoT) deals with the interconnection of devices that can communicate with each other over the internet. Currently, several smart systems have evolved with the evolution in IoT. Cognitive Radio - an enabler for Internet of Things is a research level subject for all communication engineering students at undergraduate, post graduate and research levels. The contents of the book are designed to cover the prescribed syllabus for one semester course on the subject prescribed by universities. Concepts have been explained thoroughly in simple and lucid language. Mathematical analysis has been used wherever necessary followed by clear and lucid explanation of the findings and their implication. Key technologies presented include dynamic spectrum access, spectrum sensing techniques, IEEE 802.22 and different radio network architectures. Their role and use in the context of mobile broadband access in general is explained, giving both a high level overview and a detailed step by step explanation. The book includes a large number of diagrams, MATLAB examples, thereby enabling the readers to have a sound grasp of the concepts presented and their applications. This book is a must have resource for engineers and other professionals in the telecommunication industry working with cellular or wireless broadband technologies, helping comprehension of the process of utilization of the updated technology to enable being ahead competition. | ||
| 545 | 0 | |a R. Kalidoss, M. A. Bhagyaveni, K. S. Vishvaksenan | |
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| 700 | 1 | |a Bhagyaveni, M. A., |e author. | |
| 700 | 1 | |a Kalidoss, R., |e author. | |
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