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HHW.hu Letöltések E-könyvek Külföldi könyvek Mastering Internet of Things From Fundamentals to Advanced Applications in Industry and Research

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Mastering Internet of Things From Fundamentals to Advanced Applications in Industry and Research
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2025-12-30, 01:30
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Free Download Mastering Internet of Things From Fundamentals to Advanced Applications in Industry and Research (Web Programming) by Anshuman Mishra
English | June 13, 2025 | ISBN: N/A | ASIN: B0FD7VBBQ4 | 541 pages | EPUB | 1.75 Mb
The Internet of Things (IoT) is more than just a buzzword. It is an innovative and revolutionary force that is reshaping how we interact with devices, systems, and the environment. With billions of connected devices predicted in the coming years, the knowledge and skills surrounding IoT are not only beneficial-they are essential. This book, "Mastering Internet of Things (IoT): From Fundamentals to Advanced Applications in Industry and Research," is designed to be the definitive guide for students, professionals, and researchers aiming to understand, implement, and innovate within the IoT landscape.

Who Is This Book For?
This book is tailored for:Undergraduate and Postgraduate students (BCA, MCA, BTech, MTech, etc.)Professionals in the fields of IT, electronics, embedded systems, and automationResearchers and academicians seeking practical insight and research directions in IoTEntrepreneurs and technologists working on product design and innovation using IoT
Why This Book?Comprehensive and Structured: Starts from the basics and moves towards complex real-world applications.Hands-On Approach: Includes DIY projects, case studies, and real-life applications.Latest Trends: Covers integration with AI, Machine Learning, Cloud, and Edge Computing.Research Focused: Explores future scopes, challenges, and emerging research domains.
Chapter-wise Description
Chapter 1: Introduction to IoT This chapter lays the foundation of IoT, explaining what it is, how it evolved, and its significance in the modern technological ecosystem. Readers will understand the core features of IoT systems, the interplay between software and hardware, and real-world examples that showcase the breadth of IoT.
Chapter 2: IoT Ecosystem and Reference Models Explores the layers and components of the IoT ecosystem: sensing, network, data processing, and application. The chapter provides insights into popular reference architectures and standard models like the IoT-A and OneM2M, helping readers to build a structured view of IoT systems.
Chapter 3: IoT Hardware and Sensors A practical guide to the physical components involved in IoT, including sensors, actuators, transducers, and development boards like Arduino, Raspberry Pi, and ESP32. This chapter also explains interfacing techniques, pin mapping, and energy considerations.
Chapter 4: Communication Technologies for IoT Communication is the lifeblood of any IoT system. This chapter details wireless and wired communication protocols-BLE, Zigbee, Z-Wave, LoRaWAN, NB-IoT, and more. It also dives into application layer protocols such as MQTT, CoAP, and HTTP, with practical implementation scenarios.
Chapter 5: IoT Programming and Platforms Learn how to code IoT applications using Embedded C, Python, and JavaScript. Introduction to visual programming tools like Node-RED, cloud platforms like AWS IoT, Google Cloud IoT Core, Blynk, and ThingSpeak. This chapter includes code snippets, setup guides, and project templates.
Chapter 6: Cloud Computing and IoT Integration Focuses on how IoT interacts with cloud infrastructure for data storage, analysis, and decision-making. Introduces edge and fog computing models and shows how to use cloud platforms to scale IoT applications efficiently.
Chapter 7: IoT Security and Privacy Security is a major concern in IoT development. This chapter deals with encryption, secure communication protocols, data privacy laws, and methods to safeguard devices from cyber-attacks. Includes case studies of famous IoT breaches.
Chapter 8: IoT and Artificial Intelligence (AI/ML) Explains how AI and ML enhance IoT by enabling intelligent automation and data-driven decisions.


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