 | Cognitive Radio: Computing Techniques, Network Security and Challenges Subjects: Computer Science; Engineering & Technology; Legal Ethical & Social Aspects of IT; Systems & Computer Architecture; Electrical & Electronic Engineering; Electromagnetics & Communication; IT Security; Networks; Communications & Information Processing; Digital Signal Processing; Radio Satellites Television & Audio; 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 networkingThis 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. 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. |
