Cognitive Radio
Computing Techniques, Network Security and Challenges
1st Edition
Published on 22. December 2021
Book
Hardback
136 pages
978-0-367-60941-2 (ISBN)
Description
The scarcity of radio spectrum is one of the most urgent issues at the forefront of future network research that is yet to be addressed. To address the problem of spectrum usage efficiency, the cognitive radio (CR) concept was proposed. The challenges of employing CRs include ensuring secure device operations and data transmission with advanced computing techniques. Successful development of CR systems will involve attainment of the following key objectives:
Increasing the rate and capacity of CR-based networks
How the power is utilized in CR hardware devices with CMOS circuits
How the framework is needed in complex networks
Vedic multipliers on CR networks
Spatial analysis and clustering methods for traffic management
To transmit a large volume of data like video compression
Swarm optimization algorithms
Resource sharing in peer-to-peer networking
This book gathers the latest research works focusing on the issues, challenges, and solutions in the field of Cognitive Radio Networks, with various techniques. The chapters in this book will give solutions to the problems that Industry 4.0 faces, and will be an essential resource for scholars in all areas of the field.
Increasing the rate and capacity of CR-based networks
How the power is utilized in CR hardware devices with CMOS circuits
How the framework is needed in complex networks
Vedic multipliers on CR networks
Spatial analysis and clustering methods for traffic management
To transmit a large volume of data like video compression
Swarm optimization algorithms
Resource sharing in peer-to-peer networking
This book gathers the latest research works focusing on the issues, challenges, and solutions in the field of Cognitive Radio Networks, with various techniques. The chapters in this book will give solutions to the problems that Industry 4.0 faces, and will be an essential resource for scholars in all areas of the field.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Academic and Postgraduate
Illustrations
76 s/w Abbildungen, 32 s/w Photographien bzw. Rasterbilder, 44 s/w Zeichnungen, 30 s/w Tabellen
30 Tables, black and white; 44 Line drawings, black and white; 32 Halftones, black and white; 76 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 13 mm
Weight
394 gr
ISBN-13
978-0-367-60941-2 (9780367609412)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Budati Anil Kumar | Peter Ho Chiung Ching | Shuichi Torii
Cognitive Radio
Computing Techniques, Network Security and Challenges
Book
10/2024
1st Edition
CRC Press
€67.70
Shipment within 10-20 days
Budati Anil Kumar | Peter Ho Chiung Ching | Shuichi Torii
Cognitive Radio
Computing Techniques, Network Security and Challenges
E-Book
12/2021
1st Edition
CRC Press
€61.99
Available for download
Budati Anil Kumar | Peter Ho Chiung Ching | Shuichi Torii
Cognitive Radio
Computing Techniques, Network Security and Challenges
E-Book
12/2021
1st Edition
CRC Press
€61.99
Available for download
Persons
Budati Anil Kumar is a full time Associate Professor in the Gokaraju Rangaraju Institute of Engineering & Technology (GRIET-Autonomous), Hyderabad, India. His research interests mainly focus on wireless communications, signal processing and cognitive radio networks. He has published more than 20 peer reviewed international journal and conferences papers, delivered guest lectures and acted as various committee chairs in national and international conferences.
Ho Chiung Ching is currently working as Senior Lecturer at the Department of Computing and Information Systems, Sunway University, Malaysia. His areas of specializations are computing techniques, pattern recognition, data mining, big data, biometrics and location intelligence. Ho has a strong background in data science and machine learning, with 17 years of experience in teaching and research.
Shuichi Torii is a Professor of Department of Mechanical Engineering at Kumamoto University, a position which he has held since 2003. His research focuses on production and development of clean energy and renewable energy sources. He has published more than 150 publications in various international journals ranked with SCI and Scopus databases.
Ho Chiung Ching is currently working as Senior Lecturer at the Department of Computing and Information Systems, Sunway University, Malaysia. His areas of specializations are computing techniques, pattern recognition, data mining, big data, biometrics and location intelligence. Ho has a strong background in data science and machine learning, with 17 years of experience in teaching and research.
Shuichi Torii is a Professor of Department of Mechanical Engineering at Kumamoto University, a position which he has held since 2003. His research focuses on production and development of clean energy and renewable energy sources. He has published more than 150 publications in various international journals ranked with SCI and Scopus databases.
Content
A Frame Work For Identification of Vehicular Traffic Accidents Hotspots in Complex Networks
Traffic Safety Management using Spatial Analysis and Clustering Methods
Machine-Learning Algorithms on Cognitive Multisensor Image Application
Performance Evaluation of Video Compression Techniques: x.263, x.264 and x.265 to Improve Video Streaming Quality
Design of CMOS Circuits for Cognitive Radio Application with Power Analysis
A Novel Design OF16 BIT MAC UNIT based on Vedic Mathematics Using FPGA Hardware for Cognitive Radio Application
Hybrid Optimization Technique using Particle Swarm Optimization and Firefly Algorithm using the Chord Protocol
Mesh-DHT Approach for Efficient Resource Sharing in P2P-Based Wireless Mesh Cognitive Networks
Design of VLSI Technology for Cognitive Radio
Traffic Safety Management using Spatial Analysis and Clustering Methods
Machine-Learning Algorithms on Cognitive Multisensor Image Application
Performance Evaluation of Video Compression Techniques: x.263, x.264 and x.265 to Improve Video Streaming Quality
Design of CMOS Circuits for Cognitive Radio Application with Power Analysis
A Novel Design OF16 BIT MAC UNIT based on Vedic Mathematics Using FPGA Hardware for Cognitive Radio Application
Hybrid Optimization Technique using Particle Swarm Optimization and Firefly Algorithm using the Chord Protocol
Mesh-DHT Approach for Efficient Resource Sharing in P2P-Based Wireless Mesh Cognitive Networks
Design of VLSI Technology for Cognitive Radio