Textbook in PDF format

The text focuses on the theory, design, and implementation of the Internet of Things (IoT), in a modern communication system. It will be useful to senior undergraduate, graduate students, and researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology.
Features:
Presents all the necessary information on the Internet of Things in modern computing
Examines antenna integration challenges and constraints in the Internet of Things devices
Discusses advanced Internet of Things networks and advanced controllers required for modern architecture
Explores security and privacy challenges for the Internet of Things-based health care system
Covers implementation of Internet of Things security protocols such as MQTT, Advanced Message Queuing Protocol, XMPP, and DSS
The text addresses the issues and challenges in implementing communication and security protocols for IoT in modern computing. It further highlights the applications of IoT in diverse areas including remote health monitoring, remote monitoring of vehicle data and environmental characteristics, Industry 4.0, 5G communications, and Next-gen IoT networks. The text presents case studies on IoT in modern digital computing. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology.
The organization of the book is as follows:
Chapter 1 lays the foundation stone in terms of the progress made in the Internet of Things (IoT) field and advance the challenges in the architecture design of IoT. The chapter also discusses both classical and emerging IoT models.
Chapter 2 provides a bird’s-eye view of Industry 4.0 and the role of Artificial Intelligence (AI) and the Internet of Things (IoT) in achieving this new framework. It provides a quick overview of the history of the industrial revolution by highlighting some significant historical events. Industry 4.0 is a new model that strives to build an open and smart processing platform.
Chapter 3 discusses the role of edge computing and its ability to do sophisticated calculations at the edge location rather than doing the calculations at the cloud location. In this chapter recent study, developments and benefits in edge computing are also highlighted. There are a few illustrations and photographs in this chapter.
Chapter 4 discusses the role of Industrial IoT (IIoT) within Industry 4.0. IIoT, which is an integral part of IoT, is one of the most widely used terms in the development of modern computing. This chapter offers some detailed insights with regard to IIoT, along with an outline of its key technologies. The chapter also focuses on the open challenges and application domain of IoT in Industry 4.0.
Chapter 5 provides a general framework for the detection of Denial of Service (DoS) attacks in the field of IoT. It analyses the research gaps in DoS detection techniques and then offers a two-stage framework for DoS detection technique based on the Fuzzy Rule Manager and Neural Networks.
Chapter 14 proposes an automated system for the identification of dental diseases using Deep Learning and the IoT. The technique proposed in this study is extremely efficient and has a very low probability of error. The experimental results of the proposed technique are also provided