Intelligent Spectrum Handovers in Cognitive Radio Networks

ISBN-13: 9783030154158 / Angielski / Twarda / 2019 / 217 str.

Anandakumar Haldorai; Umamaheswari Kandaswamy

Spis treści

Chapter1: Cooperative Spectrum Handovers in Cognitive Radio Networks.- Chapter2: Intelligent Cognitive Radio Communication – A Detailed Approach.- Chapter3: Energy Efficient Spectrum Handovers  in Cognitive  Network Selection.- Chapter4: Software Radio Architecture: A Mathematical Perspective.- Chapter5: Distributed Algorithms for Learning and Cognitive Medium.- Chapter6: Dynamic Spectrum Handovers in Cognitive Radio Networks.- Chapter7: Supervised Machine Learning Techniques in Cognitive Radio Network Handovers.- Chapter8: Green Wireless Communications via Cognitive Handover.- Chapter9: Secure Distributed Spectrum Sensing in Cognitive Radio Networks.- Chapter10: Applications and Services of Intelligent Spectrum Handover.

O autorze

Anandakumar Haldorai, Professor(Associate) and Research Head in Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India He has received his Master’s in Software Engineering from PSG College of Technology, Coimbatore. PhD in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. His research areas include Cognitive Radio Networks, Mobile Communications and Networking Protocols. He has authored more than 85 research papers in reputed International Journals and IEEE, Springer Conferences. He has authored 6 book and many book chapters with reputed publishers such as Springer and IGI. He is served as a Editor in chief of Inderscience IJISC Journal and reviewer for IEEE, IET, Springer, Inderscience and Elsevier journals. He is also the guest editor of many journals with Wiley, Springer, Elsevier, Inderscience, etc. He has been the General chair, Session Chair, and Panelist in several conferences. He is senior member of IEEE, MIET, MACM and EAI research group.

Umamaheswari Kandaswamy, Professor & Head, Department of Information Technology, PSG College of Technology, India has completed her Bachelors degree in Computer Science and Engineering in 1989 from Bharathidasan University and her masters in Computer Science and Engineering in 2000 from Bharathiar University. She had completed her PhD in Anna University Chennai in 2010. She has rich experience in teaching for about 22 years. Her research areas include Classification techniques in Data Mining and other areas of interest are Cognitive networks, Data Analytics, Information Retrieval, Software Engineering, Theory of Computation and Compiler Design. She has published more than 100 papers in international, national journals and conferences. She is a life member in ISTE and ACS and Fellow member in IE. She is the editor for National Journal of Technology, PSG College of Technology and reviewer for many National and International Journals.

Blurb

This book highlights the need for an efficient Handover Decision (HD) mechanism to perform switches from one network to another and to provide unified and continuous mobile services that include seamless connectivity and ubiquitous service access. The author shows how the HD involves efficiently combining handover initiation and network selection process. The author describes how the network selection decision is a challenging task that is a central component to making HD for any mobile user in a heterogeneous environment that involves a number of static and dynamic parameters. The author also discusses prevailing technical challenges like Dynamic Spectrum Allocation (DSA) methods, spectrum sensing, cooperative communications, cognitive network architecture protocol design, cognitive network security challenges and dynamic adaptation algorithms for cognitive system and the evolving behavior of systems in general. The book allows the reader to optimize the sensing time for maximizing the spectrum utilization, improve the lifetime of the cognitive radio network (CRN) using active scan spectrum sensing techniques, analyze energy efficiency of CRN, find a secondary user spectrum allocation, perform dynamic handovers, and use efficient data communication in the cognitive networks.

• Identifies energy efficient spectrum sensing techniques for Cooperative Cognitive Radio Networks (CRN);
• Shows how to maximize the energy capacity by minimizing the outage probability;
  
• Features end-of-chapter summaries, performance measures, and case studies.