A hands-on guide and mathematical approach to tackling security challenges and overall performance issues in 5G-based IoT communications The Internet of Things (IoT) provides connectivity and data exchange anytime and anywhere among a wide variety of physical objects such as sensors, vehicles, and mobile phones. This book is a concise guide to securing wireless Internet of Things (IoT) systems at the communications level, covering wireless spectrum sharing systems, smart grid communications, machine-to-machine communications, and uplink/downlink communications for IoT applications. The methods, optimization problems, mathematical solutions, algorithms, and programming codes in the book can be applied directly or extended as countermeasures for different IoT vulnerabilities. Coverage includes: •Detailed solutions for tackling communications security threats •Secure spectrum auction design •Spectrum trading architecture •Distributed optimization algorithm •Latency-centric IoT uplink framework •MATLAB code for IoT spectrum sharing and IoT smart grid •Joint carrier aggregation for IoT spectrum sharing systems •Anomaly detection and classification

As the internet of things market is booming, several issues are delaying the full realization of the technology. Currently, business competitors are jockeying for a piece of the market, meaning solutions from researchers that address these issues is crucial for internet of things technology developers. Overpromising followed by underdelivering has been the current approach by many innovators, and the mismatch results in losses in production, orphaned technologies, and frequent system failures. Solutions that address internet of things performance issues must be studied in order to take full advantage of this emerging market. Achieving Full Realization and Mitigating the Challenges of the Internet of Things addresses the challenges faced in rolling out internet of things technologies as well as the various performance issues. Covering a range of topics such as cybersecurity and connectivity issues, this reference work is ideal for industry professionals, academicians, researchers, practitioners, technology developers, instructors, and students.

Wireless technologies have been evolved rapidly, whose infrastructures are built and delivered speedily. The emerging wireless technologies offer new solutions for data communication, monitoring, sensing, and edge computing, etc. The fast growth of wireless networks generates not only opportunities for new applications, but also issues in high energy consumption, unexpected latency, and potential privacy breach. In this dissertation, we propose two novel cyber-physical systems to demonstrate the possibility of empowering new IoT services and applications by leveraging the emerging wireless charging infrastructures and benchmarking the energy performance of end nodes in low-power wireless networks, respectively.First, we present QID, the first system that identifies a Qi-compliant device during wireless charging in real-time using wireless charging fingerprints. QID employs a 2-dimensional motion unit to emulate a variety of multi-coil designs of Qi, which allows for fine-grained device fingerprinting. With the novel mobile coil design and a set of novel fingerprints from oscillator and controller patterns, QID achieves high device recognition accuracy by using ensembled Machine Learning algorithms. With the prevalence of public wireless charging stations, our results also have important implications for mobile user privacy.Second, we develop a novel benchmarking ecosystem, called NB-Scope, to study the energy performance of the Narrowband Internet of Things (NB-IoT) network. NB-Scope adopts a hierarchical design, resolving the heterogeneity in network operators, node module vendors, and location profiles, to allow for the fusion of fine-grained diagnostic traces and current measurement. We then conduct a large-scale field measurement study consisting of 30 nodes deployed at over 1,200 locations in 3 regions for three months. Our in-depth analysis of the collected 49 GB traces showed that NB-IoT nodes yield significantly imbalanced energy consumption in the wild, up to a ratio of 75:1, which may lead to short battery lifetime and frequent network partition. By extensive data analysis, we identify several key factors, including diverse network coverage levels, long-tail power profile, and excessive control message repetitions, that lead to high variance in the energy performance.Finally, we explore the optimization of NB-IoT base station settings on a software-defined eNodeB testbed and suggest several important design aspects that can be considered by future NB-IoT specifications and chipsets. Our study on the NB-IoT network provides important insights into the energy consumption of low-power wide-area networks and empowers the IoT applications.

Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

The internet of things (IoT) has emerged as a trending technology that is continually being implemented into various practices within the field of engineering and science due to its versatility and various benefits. Despite the levels of innovation that IoT provides, researchers continue to search for networks that maintain levels of sustainability and require fewer resources. A network that measures up to these expectations is Narrowband IoT (NBIoT), which is a low power wide area version of IoT networks and is suitable for larger projects. Engineers and other industry professionals are in need of in-depth knowledge on this growing technology and its various applications. Principles and Applications of Narrowband Internet of Things (NBIoT) is an essential reference source that provides an in-depth understanding on the recent advancements of NBIoT as well as the crucial roles of emerging low power IoT networks in various regions of the world. Featuring research on topics such as security monitoring, sustainability, and cloud infrastructure, this book is ideally designed for developers, engineers, practitioners, researchers, students, managers, and policymakers seeking coverage on the large-scale deployment and modern applications of NBIoT.

This comprehensive book presents a new approach to dynamic distributed virtual systems. Wireless grids edgeware promises new cloud to edge secure architectures with mobile security for the Internet of Things (IoT). The scope covers framworks and models for wireless grids edgeware, as well as open specifications and new applications called gridlets and wiglets.The book also highlights fundamental to advanced concepts necessary to grasp wireless grids, edgeware and IoT current issues, challenges and solutions as well as future trends in IoT infrastructures. It also serves as a virtual and effective bridge between academic research on theory, and science-practitioners work with wireless grids, edgeware and IoT technology.This unique compendium is composed for researchers, professionals and students working in the field of innovation management, wireless technologies, information system theory, systems engineering, security system designers, and mobile cloud service developers. University professors and researchers involved in wireless grids, edgeware and IoT related networking may find the book useful for their undergraduate and especially graduate courses.

Cellular Internet of Things: Technologies, Standards and Performance gives insight into the recent work performed by the 3rd Generation Partnership Project (3GPP) to develop systems for the Cellular Internet of Things. It presents both the design of the new Narrowband Internet of Things (NB-IoT) technology and how GSM and LTE have evolved to provide Cellular Internet of Things services. The criteria used for the design and objectives of the standardization work are explained, and the technical details and performance of each technology is presented. This book discusses the overall competitive landscape for providing wireless connectivity, also introducing the most promising technologies in the market. Users will learn how cellular systems work and how they can be designed to cater to challenging new requirements that are emerging in the telecom industry, what the physical layers and procedures in idle and connected mode look like in EC-GSM-IoT, LTE-M, and NB-IoT, and what the expected performance of these new systems is in terms of expected coverage, battery lifetime, data throughput, access delay time and device cost. Learn: How cellular systems work, and how they can be designed to cater for challenging new requirements emerging in the telecom industry. How the physical layers and the procedures in idle and connected mode look like in EC-GSM-IoT, LTE-M, and NB-IoT. What the expected performance of these new systems is in terms of expected coverage, battery lifetime, data throughput, access delay time, and device cost. How the Low-Power-Wide-Area IoT market segment looks like and how different available solutions compare in terms of performance and compatibility with already existing radio networks. What system capacity and network level performance can be achieved when deploying these new systems, and in addition what deployment options are possible. Provides a detailed introduction to the EC-GSM-IoT, LTE-M and NB-IoT technologies Presents network performance of the 3GPP cellular technologies, along with an analysis of the performance of non-cellular alternatives operating in unlicensed spectrum Includes prediction of true performance levels using state-of-the-art simulation models developed in the 3GPP standardization process