Cognitive Radio Computing Techniques, Network Security and Challenges.
| Other author | Kumar, Budati Anil. |
| Other author | Ching, Peter Ho Chiung |
| Other author | Torii, Shuichi. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | [Place of publication not identified] : CRC Press, 2021. |
| Description | 1 online resource (x, 134 pages) |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Contents | A Frame Work For Identification Of Vehicular Traffic Accidents Hotspots In Complex NetworksTraffic Safety Management Using Spatial Analysis And Clustering MethodsMachine Learning Algorithms on cognitive multisensor image ApplicationPerformance Evaluation of Video compression techniques: x.263, x.264 and x.265 to improve video streaming QualityDesign of CMOS circuits for cognitive radio application with power analysisA Novel Design OF16 BIT MAC UNIT based on Vedic Mathematics Using FPGA Hardware for Cognitive Radio ApplicationHybrid Optimization Technique using particle Swarm Optimization and Firefly Algorithm using Chord Protocol Mesh-DHT Approach For Efficient Resource Sharing In P2P Based Wireless Mesh Cognitive NetworksDesign of VLSI Technology for Cognitive Radio |
| Abstract | The scarcity of radio spectrum is one of the most urgent issues at the forefront of future network research that has yet to be addressed. In order to address the problem of spectrum usage efficiency, the cognitive radio (CR) concept was proposed. The challenges of employing CR'S include that of ensuring secure device operations and data transmission with advanced computing techniques. Successful development of CR systems will involve the attainment of following key objectives: " Increasing rate and capacity for CR-based networks ℗ʺ How the power is utilized in CR hardware devices with CMOS circuits " How the Frame work is needed in complex networks ℗ʺ Vedic multipliers on CR Networks " Spatial analysis and clustering methods for traffic management ℗ʺ To transmit large volume of data like video compression ℗ʺ Swarm optimization algorithms ℗ʺ Resource sharing in peer to peer networking 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 resourcefor the scholars inall areas of the field |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Biographical note | 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. |
| Source of description | Vendor-supplied metadata. |
| Issued in other form | Ebook version : 9781000488609 |
| Issued in other form | Print version: Cognitive Radio. First edition. [Place of publication not identified] : CRC Press, 2021 036760941X 9780367609412 |
| Genre/form | Electronic books. |
| LCCN | 2021762533 |
| ISBN | 9781003102625 (electronic bk.) |
| ISBN | 100310262X (electronic bk.) |
| ISBN | 9781000488548 (electronic bk. ; PDF) |
| ISBN | 1000488543 (electronic bk. ; PDF) |
| ISBN | 9781000488609 (electronic bk. ; EPUB) |
| ISBN | 1000488608 (electronic bk. ; EPUB) |
| Standard identifier# | 10.1201/9781003102625 |
| Stock number | 9781003102625 Taylor & Francis |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |