Rövid leírás:

This book provides a collection of contributions illustrating the latest research in the areas of future networks, applications, enabling technologies, and implementation issues and challenges. The book encompasses research on emerging areas such as the wireless technologies, software-defined networks, Cloud Computing, IoT, and Big Data.

Hosszú leírás:

With the ubiquitous diffusion of the IoT, Cloud Computing, 5G and other evolved wireless technologies into our daily lives, the world will see the Internet of the future expand ever more quickly. Driving the progress of communications and connectivity are mobile and wireless technologies, including traditional WLANs technologies and low, ultra-power, short and long-range technologies. These technologies facilitate the communication among the growing number of connected devices, leading to the generation of huge volumes of data. Processing and analysis of such "big data" brings about many opportunities, as well as many challenges, such as those relating to efficient power consumptions, security, privacy, management, and quality of service. This book is about the technologies, opportunities and challenges that can drive and shape the networks of the future.

Written by established international researchers and experts, Networks of the Future answers fundamental and pressing research challenges in the field, including architectural shifts, concepts, mitigation solutions and techniques, and key technologies in the areas of networking. The book starts with a discussion on Cognitive Radio (CR) technologies as promising solutions for improving spectrum utilization, and also highlights the advances in CR spectrum sensing techniques and resource management methods.

The second part of the book presents the latest developments and research in the areas of 5G technologies and Software Defined Networks (SDN). Solutions to the most pressing challenges facing the adoption of 5G technologies are also covered, and the new paradigm known as Fog Computing is examined in the context of 5G networks.

The focus next shifts to efficient solutions for future heterogeneous networks. It consists of a collection of chapters that discuss self-healing solutions, dealing with Network Virtualization, QoS in heterogeneous networks, and energy efficient techniques for Passive Optical Networks and Wireless Sensor Networks. Finally, the areas of IoT and Big Data are discussed, including the latest developments and future perspectives of Big Data and the IoT paradigms.

Tartalomjegyzék:

Part 1: Cognitive Radio Networks  1. Cognitive Radio with Spectrum Sensing for Future Networks  2. Cognitive Radio and Spectrum Sensing  3. Machine Learning Techniques for Wideband Spectrum Sensing in Cognitive Radios Networks  4. Resource Management Techniques in Licensed Shared Access Networks  Part 2: 5G Technologies and Software Defined Networks  5. Software-Defined Networks Security: Breaks and Obstacles  6. Fog Computing Mechanisms in 5G Mobile Networks  7. Lightweight Cryptography in 5G Machine-type Communication  8. Index Modulation: A Promising Technique for 5G and Beyond Wireless Networks  9. Seamless and Secure Communication for 5G subscriber in 5G-WLAN Heterogeneous Networks  10. Simulators, Test Beds and Prototypes of 5G mobile Networking Architectures  Part 3: Efficient solutions for Future Heterogenous Networks  11. A Fuzzy Logic-based QoS Evaluation Method for Heterogeneous Networks  12. Network Virtualization for Next-Generation Computing and Communication Infrastructures: Scalable Mapping Algorithm and Self-healing solution  13. Maximizing the Lifetime of Wireless Sensor Networks by Optimal Network Design  14. Bandwidth Allocation Scheme with QoS Provisioning for Heterogeneous Optical and Wireless Network  15. Energy Conservation Techniques for Passive Optical Networks  16. Energy-efficient Communications in Wireless Body Sensor Networks  17. Efficient Modulation Schemes for Visible Light Communication Systems  Part 4: Big Data and the Internet of Things  18. Big Data Computing Using Cloud-Based Technologies: Challenges and Future Perspectives  19. A Data Aware Scheme for Scheduling Big-Data Applications with SAVANNA Hadoop  20. A Multi-Dimensional Sensitivity-based Anonymization Method for Big Data  21. A Quick Perspective on the Current State of IoT Security: A Survey  22. A Semi-Distributed Metaheuristic Algorithm for Collaborative Beamforming in the Internet of Things.