Название: Architecting IoT Solutions on Azure: Conquering Complexity for Scalable Device and Data Management
Автор: Вlаizе Stеwаrt
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 321
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

How can you make sense of the complex IoT landscape? With dozens of components ranging from devices to metadata about the devices, it's easy to get lost among the possibilities. But it's not impossible if you have the right guide to help you navigate all the complexities. This practical book shows developers, architects, and IT managers how to build IoT solutions on Azure. Author Blaize Stewart presents a comprehensive view of the IoT landscape. You'll learn about devices, device management at scale, and the tools Azure provides for building globally distributed systems. You'll also explore ways to organize data by choosing the appropriate dataflow and data storage technologies. The final chapters examine data consumption and solutions for delivering data to consumers with Azure. Get the architectural guidance you need to create holistic solutions with devices, data, and everything in between. Azure Data Lake is a product that implements the general idea of a data lake. A data lake is a data repository, like a file system, but it’s primarily intended to house massive amounts of data used for analytical purposes. Because it’s designed for analytics, it’s optimized for analytics, meaning that it’s typically going to be fast on retrieving data, but at the expense of other operations like scanning for files or random reads and writes on data in the data lake. If you’re looking for a book that speaks to holistic IoT solutions on Azure, you’re in the right place. This book has a little something for everyone in IT, including management, architects, engineers, and administrators.

Название: Incentive Mechanism for Mobile Crowdsensing: A Game-theoretic Approach
Автор: Yоuqi Li, Fаn Li, Sоng Yаng, Сhuаn Zhаng
Издательство: Springer
Серия: SpringerBriefs in Computer Science
Год: 2024
Страниц: 137
Язык: английский
Формат: pdf (true), epub
Размер: 12.1 MB

Mobile Crowdsensing (MCS) is emerging as a novel sensing paradigm in the Internet of Things (IoTs) due to the proliferation of smart devices (e.g., smartphones, wearable devices) in people’s daily lives. These ubiquitous devices enable the possibility of harnessing the wisdom of crowds by recruiting mobile users to collectively perform sensing tasks that largely collect data about a diverse range of human activities and the surrounding environment. However, users suffer from resource consumption like battery, computing power, and storage, which discourage users’ participation. To ensure a participation rate, it is necessary to employ an incentive mechanism to compensate users’ costs such that users are willing to take part in crowdsensing. Designing an appropriate incentive mechanism is nontrivial due to different practical challenges like modeling and computational hardness. Capturing the different roles’ utility maximization, game theory is widely used to address incentive mechanism design problems. While many existing papers study incentive mechanism in MCS, to the best of our knowledge, there is few books giving a comprehensive review of the incentive mechanism for MCS, especially from the game-theoretic perspective. This book aims to fill this void. The prerequisite for reading this book is a basic understanding of the mobile crowdsensing infrastructure, game theory, equilibrium analysis, and convex optimization.

Название: Mastering The ESP32 IOT Projects With Arduino IDE: Building Connected Devices With The ESP32 Practical Guide To Arduino IDE
Автор: Мikаsа Мizuki
Издательство: Independently published
Год: 2023
Страниц: 196
Язык: английский
Формат: pdf, epub
Размер: 28.5 MB

The title "Mastering the ESP32 IoT Projects with Arduino IDE" suggests that the book is a comprehensive guide to building connected devices with the ESP32 microcontroller using the Arduino IDE. The subtitle "A Practical Guide to Building Connected Devices with Arduino IDE" further emphasizes the book's focus on hands-on learning. The title "Mastering the ESP32 IoT Projects with Arduino IDE" and the description "Building Connected Devices with the ESP32 A Practical Guide to Building Connected Devices with Arduino IDE" suggest that this book is a comprehensive guide to building IoT projects with the ESP32 microcontroller using the Arduino IDE. The ESP32 is a powerful and versatile microcontroller that is well-suited for IoT projects. It has a dual-core processor, Wi-Fi and Bluetooth connectivity, and a variety of peripherals, making it ideal for a wide range of applications. The Arduino IDE is a popular development environment for embedded systems, and it is relatively easy to learn, making it a good choice for beginners and experienced developers alike. For hobbyists and makers who are interested in building their own IoT devices, students who are learning about embedded systems or IoT development, professional engineers who are looking to use the ESP32 in their products.

Название: Smart Cities: IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques
Автор: Аlех Кhаng, Shаshi Каnt Guрtа, Sitа Rаni
Издательство: CRC Press
Год: 2024
Страниц: 429
Язык: английский
Формат: pdf (true)
Размер: 21.3 MB

This book discusses the basic principles of sustainable development in a smart city ecosystem to better serve the life of citizens. It examines smart city systems driven by emerging IoT-powered technologies and the other dependent platforms. This book is based on the design and implementation of Internet of Things (IoT), Artificial Intelligence (AI), Data Science, Big Data solutions, cloud platforms, cyber-security technology, and emerging technologies in the smart city ecosystem. Smart Cities: AI, IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures, starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements, including activities of the public and private services as well as innovative ICT solutions, computer vision, IoT technologies, data tools, cloud services, AR/VR technologies, cybersecurity techniques, treatment solution of the environmental water pollution, and other intelligent devices for supporting sustainable living in the smart environment.

Название: Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time
Автор: Dеbi Prаsаnnа Асhаrjуа, Каusеr Аhmеd Р.
Издательство: IGI Global
Год: 2023
Страниц: 300
Язык: английский
Формат: pdf (true)
Размер: 10.7 MB

Recently, several fog computing applications have been developed like IoT-based healthcare, 5G, blockchains, autonomous driving, and mobile wireless applications. They also address challenges such as data management, scalability, regulations, interoperability, device network human interfaces, security, and privacy. Further study on these applications is required to ensure this technology is utilized appropriately. Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time focuses on fog computing problems and solutions for various applications and covers the new approaches, architecture, and theoretical foundations in the fog paradigm of storage, communication, and computing. The book explores recent trends and challenges that lead to a potential course for the ideas, practices, norms, and strategies related to fog computing. Covering key topics such as data privacy, data analytics, and the internet of things, this reference work is ideal for computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students. Fog Computing is a paradigm that extends cloud computing capabilities to the network edge. Its foundations lie in understanding the theoretical principles and key concepts driving its development. This includes exploring architectural aspects which facilitate efficient and distributed data processing at the network edge. It involves examining the device and hardware support required for seamless fog computing operations, including edge devices, fog nodes, and network infrastructure. Different deployment approaches such as centralized, distributed, and hierarchical deployments bring their own advantages, limitations, and considerations. Evaluating these strategies and associated metrics aids in informed decision-making for fog infrastructure deployment. Understanding these foundations is crucial for building efficient, scalable, and resource-rich fog computing systems that address challenges in modern computing.

Название: Blockchain and Machine Learning for IoT Security
Автор: Моurаdе Аzrоur, Jаmаl Маbrоuki, Аzidinе Guеzzаz
Издательство: CRC Press
Год: 2024
Страниц: 164
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On the other hand, IoT equipment has been designed without considering security issues. Consequently, there are many challenges in terms of protection against IoT threats, which can lead to distressing situations. In fact, unlike other technological solutions, there are few standards and guidelines governing the protection of IoT technology. Moreover, few users are aware of the risks associated with IoT systems. Hence, Blockchain and Machine Learning for IoT Security discusses various recent techniques and solutions related to IoT deployment, especially security and privacy. This book addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer by considering how both the architecture and underlying technologies are employed. As acknowledged experts in the field, the authors provide remediation solutions for impaired security, as well as mitigation methods, and offer both prevention and improvement suggestions.

Название: Becoming a Computational Thinker: Success in the Digital Age
Автор: Раul S. Wаng
Издательство: CRC Press
Год: 2024
Страниц: 332
Язык: английский
Формат: pdf (true)
Размер: 46.6 MB

This book has a single purpose: to help everyone become computational thinkers. Computational thinking (CT) is thinking informed by the digital age, and a computational thinker is someone who can apply that thinking everywhere and anywhere. Through practical examples and easy-to-grasp terminology, this book is a guide to navigating the digital world and improving one’s efficiency, productivity, and success immediately. Given its pervasiveness, knowledge and experience of computation is a cornerstone of productivity, and improved thinking will lead to advances in every aspect of one’s life. In this way, CT can be thought of as the mutual reinforcement of thinking and knowledge of computation in the digital age. Comprising a rich collection of self-contained articles that can be read separately, and illustrated by pictures, images and article-end crossword puzzles, this book is an engaging and accessible route to ‘Becoming a Computational Thinker’ and achieving ‘Success in the Digital Age’. Computers brought us the digital revolution. People in the digital age have such wonderful things as laptops, smartphones, satellite navigation, drones, the Internet, the web, social media, streaming video, Artificial Intelligence (AI), and more. We are experiencing the fourth industrial revolution brought by significant applications of digital technologies and ever-increasing automation in all parts of our economy.

Название: IoT, Machine Learning and Data Analytics for Smart Healthcare
Автор: Моurаdе Аzrоur, Jаmаl Маbrоuki, Аzidinе Guеzzаz
Издательство: CRC Press
Год: 2024
Страниц: 109
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system. This book details the various ways in which Machine Learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop Machine Learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues. This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students. Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, Computer Science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

Название: AWS IoT With Edge ML and Cybersecurity: A Hands-On Approach
Автор: Sуеd Rеhаn
Издательство: Apress
Год: 2024
Страниц: 355
Язык: английский
Формат: pdf
Размер: 15.2 MB

In an era where the fusion of connectivity and technology is redefining industries, this book is a must-have guide for aspiring technologists and seasoned professionals alike. This meticulously crafted handbook guides you through every aspect of AWS IoT, touching upon vital spheres such as edge computing, machine learning, and industrial IoT, with a distinct spotlight on cybersecurity. Over the course of this book, industry veteran Syed Rehad unveils the secrets to setting up your AWS IoT environment and walks you through advanced concepts such as leveraging MQTT, mastering Digital Twin implementation, and plumbing the depths of edge machine learning. Whether you're experimenting with virtual devices or hands-on with Raspberry Pi setups, this book will steer you towards innovation and a transformative journey where technology meets intelligence and security, all under the expansive umbrella of AWS IoT. For IoT developers and enthusiasts, professionals who want to implement IoT solutions in industrial scenarios, system architects and designers interested in edge machine learning, business intelligence analysts, and cybersecurity professionals.

Название: Enhancing IoT Security: A holistic approach to security for connected platforms
Автор: Vidushi Shаrmа, Gаmini Jоshi
Издательство: BPB Publications
Год: 2024
Страниц: 748
Язык: английский
Формат: epub (true)
Размер: 31.8 MB

Everything you need to know to secure your IoT devices. The Internet of Things (IoT) is a rapidly growing network of physical devices that are connected to the internet and can collect and exchange data. It can potentially revolutionize many industries but also raises serious security concerns. This book provides a holistic overview of the security challenges and requirements of IoT. It starts by introducing the fundamentals of IoT security, such as the different types of threats and vulnerabilities. It then discusses the security lifecycle of IoT devices, from design and deployment to operation and maintenance. This book also covers a variety of security technologies and techniques that can be used to protect IoT devices, such as encryption, authentication, and access control. In addition to the technical aspects of IoT security, this book discusses the legal and regulatory landscape that governs IoT devices. Lastly, it focuses on the ethical implications of IoT security, such as the need to protect user privacy. By the end of this book, you will have a thorough understanding of the security challenges and requirements of the IoT. The book is designed for engineering students and researchers who are studying IoT security in graduate and postgraduate courses such as computer science, information technology, electronics and communication, networking applications, and electrical and electronics.