FUNDAMENTALS OF INTERNET OF THINGS: FOR STUDENTS AND PROFESSIONALS

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DESCRIPTION FUNDAMENTALS OF INTERNET OF THINGS Fundamentals of Internet of Things: For Students and Professionals teaches the principles of IoT systems. It employs a systematic approach to explain IoT architecture models and their layers. The textbook is arranged based on various layers of an architecture model. For readers who are unfamiliar with the concept of data communication and networks, the first chapter of this book covers the fundamentals of data communication and networks. It can also be used as review material for those who are already familiar with the concept. The book begins with many examples of IoT use cases to show readers how IoT can be applied to various IoT verticals. The concept of smart sensors is then described, as well as their applications in the IoT ecosystem. Because internet connectivity is an essential part of any IoT system, the book explores wired and wireless connectivity schemes including cellular IoT in the 4G and 5G eras. IoT protocols, analytics, as well as IoT security and privacy are important topics that are explained in this book with simple explanations. The last chapter of this book is dedicated to IoT solution development. IoT is one of the most rapidly evolving technologies today, and there is no better guide to this rapidly expanding sector than Fundamentals of Internet of Things (IoT) for Students and Professionals. Features: Simple explanations of complex concepts More than 300 exercise problems and advanced exercise questions Provided solutions for the exercise problems 10 practical IoT projects

Machine Learning Paradigm for Internet of Things Applications

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MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue. Machine learning (ML) is the key tool for fast processing and decision-making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. Machine learning has become a common subject to all people like engineers, doctors, pharmacy companies, and business people. The book addresses the problem and new algorithms, their accuracy, and their fitness ratio for existing real-time problems. Machine Learning Paradigm for Internet of Thing Applications provides the state-of-the-art applications of machine learning in an IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store ‘contextualized marketing’, and intelligent transportation systems. Readers will gain an insight into the integration of machine learning with IoT in these various application domains.