U3F1ZWV6ZTI0MzM4MDc0MTA3X0FjdGl2YXRpb24yNzU3MTY4MDE2OTY=
recent
recent engineering pdf

5G-Enabled Internet of Things 1st edition Edited by Yulei Wu, Haojun Huang, Cheng-Xiang Wang, Yi Pan pdf download

5G-Enabled Internet of Things 1st edition Edited by Yulei Wu, Haojun Huang, Cheng-Xiang Wang, Yi Pan. 

Reface by the editors:
The Internet of Things (IoT) is changing the way we live and work. Its success and real value come from the establishment of services on top of the connected IoT devices. According to the Ericsson Mobility Report, there will be more than 30 billion connected devices worldwide by 2023, of which around 20 billion will be IoT-related devices. Between 2017 and 2023, the number of IoT devices is expected to increase at a compound annual growth rate of 19%, driven by promising IoT use cases such as smart wearables, smart display, smart metering, smart power, robotic control/production automation, robotic surgery, autonomous driving cars, and drone surveillance. These applications are usually integrated with wireless mobile communications. 

Currently, a number of smart IoT devices exploit cellular networks such as the third generation (3G) and 4G long-term evolution (LTE) to maintain their connectivity and their connection with the cloud data centers. With the exponential growth of data produced by increasingly large numbers of IoT devices, several burning issues remain to be solved in application environments. For example, the transmission latency and reliability of the current cellular networks cannot be guaranteed, which in turn limits the effectiveness and feasibility of many emerging IoT applications such as the tactile Internet, autonomous driving cars, and robotic surgery, all of which require ultra-low latency and ultra-high reliability. 

The 5G mobile communication system has been introduced with the capabilities of high throughput, low latency, high reliability, and increased scalability. These capabilities can enable a massive number of devices, with best quality-of-service and quality-of-experience provision, of ubiquitous connectivity solutions to fulfil their diverse IoT application requirements. 5G has the potential to allow the deployment of more Internet-connected devices without concern that existing issues would be exacerbated by an overcrowded network. The high speed and reliable connectivity underpinned by 5G will create new possibilities for IoT services far beyond those available today. In addition, the enabling technologies of 5G—including network function virtualization (NFV) and softwarization, software-defined networking (SDN), massive multiple input–multiple output, mobile/edge computing, and ultra-dense networks—have great potential to usher in a new IoT era, aiming to smoothly and flexibly support heterogeneous IoT services with distinct business characteristics under a massive number of smart devices. Furthermore, the 5G IoT will bring a rich source of Big Data. The powerful role of Big Data analytics in 5G will undoubtedly benefit IoT advancement.

5G-Enabled Internet of Things 1st edition Edited by Yulei Wu, Haojun Huang, Cheng-Xiang Wang, Yi Pan

However, how the enabling technologies in 5G—whether integrated into the whole or as a part of a system—can seamlessly fuel the IoT revolution remain challenging. This raises new considerations of network design, resource deployment, management, quality of experience, standards, and policy and regulation of 5G-enabled IoT. It is therefore of critical importance to devise novel solutions by designing smart 5G-enabled IoT paradigms integrated with the enabling technologies of 5G. The IoT has been established as a new cross-discipline research topic, requiring the anticipation of the technical and practical challenges faced by mixed research studies that cross multiple disciplines.

We invited world experts to contribute chapters covering the following four sections of this book:
Section I: 5G-Enabled Internet of Things: Architecture and Related Technologies:
provides an understanding of the properties, characteristics, architecture, emerging challenges, and opportunities of the 5G-enabled IoT.
Chapter 1: 5G Cloud, Mobile, and Edge Computing for Internet of Things:
focuses on the cloud and edge context and presents the use cases driven by IoT application scenarios.
Chapter 2: Emerging Challenges and Requirements for Internet of Things in 5G: includes instruction on the evolution and history of IoT, the features in 5G that enhance IoT systems, system-related challenges, and other related emerging issues.
Chapter 3: Network Functions Virtualization–Based Internet of Things in 5G Networks.
Chapter 4: Exploring the Next Generation of the Internet of Things in the 5G Era: allows the reader a very clear understanding of how SDN and NFV can change the design and utilization of the IoT in 5G networks.
Chapter 5: Achieving Scalability in the 5G-Enabled Internet of Things: elaborates the scalability enablers in 5G and how they can be applied to provide the system scalability that is urgently required by the IoT platforms.

Section II: 5G Access Network for the Internet of Things: presents new proposals and network architectures to ensure the performance and success of 5G
access networks for IoT applications. This part covers
Chapter 6: 5G Small Cells: The Harbinger of the Internet of Things and Connected Living
Chapter 7: Mobile Edge Computing for the 5G Internet of Things, which presents the architecture, challenges and key technologies of complementarily integrating mobile edge computing with 5G-enabled IoT services;
Chapter 8: Millimeter-Wave 5G-Enabled Internet of Things: discusses the foremost mmWave 5G IoT usage scenarios;
Chapter 9: Algorithms and Performance Analysis for Narrowband Internet
of Things and Broadband Long-Term Evolution Coexisting System: presents important design and performance analyses of this coexisting system;
Chapter 10: Internet of Things Wireless Spectrum Sharing for Radio Access: shows the general engineering of 5G in light of range-sharing strategies that clarify distinctive methods for spectrum sharing;
Chapter 11: Random Access Modeling for the Cellular-Based Massive Internet of Things: deals with the challenge of connection establishment between IoT devices and base stations, for the sporadic uplink transmissions of massive IoT devices.

Section III: Privacy and Security Issues: addresses how to perform privacy protection and ensure system security in the 5G-enabled IoT.
Chapter 12: Privacy and Security Issues in the 5G-Enabled Internet of Things: discusses security and privacy issues in the 5G-enabled IoT and suggests future research opportunities.
Chapter 13: Privacy-Preserving Techniques for the 5G-Enabled Location-Based Services: focuses on the privacy issues of location-based services (LBSs) in the IoT and provides a comprehensive overview on the state-of-the-art and the key fundamentals of LBS privacy-preserving techniques.
Chapter 14: Blockchain Technology for the 5G-Enabled Internet of Things Systems: Principle, Applications and Challenges: provides a comprehensive overview on how blockchain technology can tackle the critical challenges of 5G-enabled IoT systems such as IoT device management, Big Data analytics and storage, and privacy and security protection.

Section IV: Emerging Applications of the 5G-Enabled Internet of Things: This part covers some emerging applications on
Chapter 15: Searching for Internet-of-Things Resources: Requirements and Outlook: deals with the challenges faced by the data deluge in 5G-enabled IoT;
Chapter 16: Applications of the Internet of Things and Fog Computing for Community Safety toward the 5G Era: discusses the challenges of community safety by IoT and introduces a hierarchical fog computing architecture for community safety based on fog gateway and Big Data;
Chapter 17: Tactile Internet over Fiber-Wireless–Enhanced LTE-A HetNets via Artificial Intelligence-Embedded Multi-Access Edge Computing: discusses how to enable emerging delay-sensitive interactive tactile Internet applications;
Chapter 18: Smart Power Management Internet of Things System with 5G and LoRa Hybrid Wireless Networks: describes a smart power management IoT system with 5G and LoRa hybrid wireless networks that provides energy usage information and efficient controls for power system energy analysis and allocation planning.

This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the integration of 5G enabling technologies into IoTs in support of a smart 5G-enabled IoT paradigm in terms of network design, operation, management, optimization, privacy and security, and applications. In particular, the technical focus covers a comprehensive understanding of 5G-enabled IoT architectures, converged-access networks, privacy and security issues, and emerging applications of the 5G-enabled IoT. 

This book targets readers in both academia and industry. Graduate students can select promising research topics from this book that are suitable for their thesis or dissertation research. Researchers will gain a deep understanding of the challenging issues and opportunities of 5G-enabled IoT and can thus easily find an unsolved research problem to pursue. Industry engineers from IT companies, service providers, content providers, network operators, and equipment manufacturers can get to know the engineering design issues and corresponding solutions after reading some of the practical schemes described in some chapters.

All chapter authors have provided as many technical details as possible. Each chapter also includes references for readers’ further studies and investigations. If you have any comments or questions on certain chapters, please contact the chapter authors for more information. 
Thank you for reading this book. We hope this book is helpful to you in your scientific research and in understanding the practical problems related to the 5G-enabled IoT.


Book Details:
⏩Edition: 1st
⏩Editors: Yulei Wu, Haojun Huang, Cheng-Xiang Wang, Yi Pan
⏩Puplisher: CRC Press 
⏩Puplication Date: June 13, 2019 
⏩Language: English
⏩Pages: 419
⏩Size: 10.7 MB
⏩Format: PDF

Download 5G-Enabled Internet of Things 1st edition Edited by Yulei Wu, Haojun Huang, Cheng-Xiang Wang, Yi Pan in pdf format for free.

NameEmailMessage