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.
This book gathers together 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 facing Industry 4.0 and will be an essential resource for the scholars in all areas of the field.
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
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.
