This book is a collection of papers from international experts presented at International Conference on NextGen Electronic Technologies (ICNETS2-2016). ICNETS2 encompassed six symposia covering all aspects of electronics and communications domains, including relevant nano/micro materials and devices. Presenting recent research on wireless communication networks and Internet of Things, the book will prove useful to researchers, professionals and students working in the core areas of electronics and their applications, especially in signal processing, embedded systems and networking.

The Internet of Things (IoT) has attracted much attention from society, industry and academia as a promising technology that can enhance day to day activities, and the creation of new business models, products and services, and serve as a broad source of research topics and ideas. A future digital society is envisioned, composed of numerous wireless connected sensors and devices. Driven by huge demand, the massive IoT (mIoT) or massive machine type communication (mMTC) has been identified as one of the three main communication scenarios for 5G. In addition to connectivity, computing and storage and data management are also long-standing issues for low-cost devices and sensors. The book is a collection of outstanding technical research and industrial papers covering new research results, with a wide range of features within the 5G-and-beyond framework. It provides a range of discussions of the major research challenges and achievements within this topic.

With the rise of mobile and wireless technologies, more sustainable networks are necessary to support such communications. These next generation networks can now be utilized to strengthen the growing era of the Internet of Things. Powering the Internet of Things With 5G Networks is a comprehensive reference source for the latest scholarly research on the progression and design of fifth generation networks and their role in supporting the Internet of Things. Including a range of perspectives on topics such as privacy and security, large scale monitoring, and scalable architectures, this book is ideally designed for technology developers, academics, researchers, and practitioners interested in the convergence of the Internet of Things and 5G networks.

The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common feature of these applications is the stringent requirements for low-latency communications. Considering the typical small payload size of IoT applications, it is of critical importance to reduce the size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead communications also help to improve the energy efficiency of IoT devices. Recently, structured signal processing techniques have been introduced and developed to reduce the overheads for key design problems in IoT networks, such as channel estimation, device identification, and message decoding. By utilizing underlying system structures, including sparsity and low rank, these methods can achieve significant performance gains. This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and discusses their applications in enabling low-overhead communications in IoT networks. Further, it presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various mathematical tools.

'This textbook is clearly a valuable resource for engineering students or anyone who wants to learn about wireless communication since it provides the technical fundamentals of the key theories and methods used for IoT communication … If you are interested in learning about the technical details of IoT and wireless communication, then this very well-written book, loaded with the fundamentals for understanding this rapidly growing system of the future, is well-worth reading.'IEEE Electrical Insulation MagazineThis textbook metamorphosed from notes that the author has been using to teach at four universities in Australia and New Zealand. The book treats the physical principles and design of wireless Internet of Things (IoT) systems from engineering perspective. IoT enables communication between people, between people and things, and between things. The book highlights the wide scope of sensors used in IoT - including RFIDs, smart mobile phones, home consumer devices, autonomous cars, utility meters, car park meters, robots, satellites, radars and wireless positioning systems. Three features render the book practically accessible. First, each chapter is organised in sections, each of which ends with a set of authentic review questions to motivate reflection. This is complemented by numerous worked examples in each section. Third, the book introduces two popular industry software packages for hands-on practice — MATLAB® and CelPlanner™. With the growing popularity of softwarisation and cloudification, possessing expertise in these packages makes one useful to the industry. Parts of this book are taught in undergraduate curriculum, while the rest is taught in graduate courses. Both traditional and modern topics including C-RAN, network slicing, NFV, NB-IoT and 5G use cases in IoT are covered.Instructor's resources are provided for free to instructors who adopt the book as textbook for a unit/ course/subject/paper. Please send your request to [email protected].

Wireless communication is continuously evolving to improve and be a part of our daily communication. This leads to improved quality of services and applications supported by networking technologies. We are now able to use LTE, LTE-Advanced, and other emerging technologies due to the enormous efforts that are made to improve the quality of service in cellular networks. As the future of networking is uncertain, the use of deep learning and big data analytics is a point of focus as it can work in many capacities at a variety of levels for wireless communications. Implementing Data Analytics and Architectures for Next Generation Wireless Communications addresses the existing and emerging theoretical and practical challenges in the design, development, and implementation of big data algorithms, protocols, architectures, and applications for next generation wireless communications and their applications in smart cities. The chapters of this book bring together academics and industrial practitioners to exchange, discuss, and implement the latest innovations and applications of data analytics in advanced networks. Specific topics covered include key encryption techniques, smart home appliances, fog communication networks, and security in the internet of things. This book is valuable for technologists, data analysts, networking experts, practitioners, researchers, academicians, and students.

The Internet of Things is the emerging technology which interconnects smart objects using wireless communications. After having been extensively studied in academic labs, the Internet of Things is now widely applied in the industrial world (e.g. domestic automation, smart metering, smart cities). Internet of Things and M2M Communications presents the key concepts used in the Internet of Things. In particular, Machine to Machine (M2M) communications have to be energy efficient so that all the smart objects may operate for years on a single battery. Besides, whilst constructing an efficient global digital world combining personal/private and external/general data, security and privacy issues have also to be covered adequately. Contents: Part I. Energy Constrained IoT Effect of Data Aggregation in M2M Networks OR-AHad: An Opportunistic Routing Algorithm for Energy Harvesting WSN An Off-line Tool for Accurately Estimating the Lifetime of a Wireless Mote Part II. Transmission Scheduling Delay-Constrained Scheduling in Wireless Sensor Networks Distributed Scheduling for Cooperative Tracking in Hierarchical Wireless Sensor Networks Time Synchronization on Cognitive Radio Ad Hoc Networks: A Bio-Inspired Approach Part III. Security & Tests Secure Access Control and Authority Delegation Based on Capability and Context Awareness for Federated IoT Jamming and Physical Layer Security for Cooperative Wireless Communication Performance Modeling and Simulation of Machine-to-Machine (M2M) Systems