Internet Of Things Basic | IoT Architecture and Ecosystem by Diljeet Singh | Learn Smarter
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IoT Architecture and Ecosystem

The chapter provides a comprehensive overview of IoT systems, highlighting their four-layer architecture: Perception, Network, Middleware, and Application. Each layer plays a specific role in the data lifecycle, from sensing to user interaction. Furthermore, it outlines the broader IoT ecosystem, including key hardware, software, and connectivity technologies. Different computing paradigms like edge, fog, and cloud computing are discussed, demonstrating their relevance to real-world applications.

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Sections

  • 2

    Iot Architecture And Ecosystem

    This section introduces the layered architecture and the broader ecosystem supporting IoT systems.

    Learning Practice

  • 2.1

    Learning Objectives

    This section outlines the learning objectives for Chapter 2 on IoT architecture and ecosystem.

    Learning Practice

  • 2.2

    Four-Layer Iot Architecture

    The Four-Layer IoT Architecture outlines the structure of IoT systems, detailing the specific roles of each layer in data handling.

    Learning Practice

  • 2.3

    Iot Ecosystem Overview

    The IoT ecosystem encompasses various elements including hardware, software, connectivity, cloud platforms, security tools, and user applications that facilitate the functioning of IoT systems.

    Learning Practice

  • 2.4

    Edge, Fog, And Cloud Computing In Iot

    This section explores the three computing paradigms—edge, fog, and cloud computing—that significantly influence data processing and decision-making in IoT applications.

    Learning Practice

  • 2.5

    Examples Of Iot Architectures

    This section provides concrete examples of IoT architectures, illustrating various applications such as smart homes and smart agriculture.

    Learning Practice

  • 2.6

    Chapter Summary

    This chapter covers the IoT architecture and ecosystem, focusing on its four-layer structure.

    Learning Practice

  • 2.2.1

    Layer Description

    This section outlines the four-layer architecture of IoT systems, detailing the functions of each layer.

    Learning Practice

  • 2.2.1.1

    Perception Layer

    The Perception Layer is the foundational component of the IoT architecture responsible for data collection through sensors and actuators.

    Learning Practice

  • 2.2.1.2

    Network Layer

    The Network Layer is crucial in IoT systems as it facilitates data transfer between devices using established communication protocols.

    Learning Practice

  • 2.2.1.3

    Middleware Layer

    The middleware layer acts as a crucial component in IoT systems, managing the processing, storage, and analysis of data either locally or in the cloud.

    Learning Practice

  • 2.2.1.4

    Application Layer

    The Application Layer of IoT systems interfaces directly with users, providing dashboards, mobile apps, and automation tools for data visualization and control.

    Learning Practice

  • 2.3.1

    The Iot Ecosystem Includes:

    This section outlines the various components that constitute the IoT ecosystem.

    Learning Practice

  • 2.3.1.1

    Hardware

    This section provides a comprehensive overview of the hardware components that make up an IoT ecosystem, including sensors and communication modules.

    Learning Practice

  • 2.3.1.2

    Software

    This section explores the software components integral to IoT systems, detailing operating systems, firmware, device drivers, and their significance in the IoT ecosystem.

    Learning Practice

  • 2.3.1.3

    Connectivity

    This section covers the different connectivity technologies that facilitate communication in IoT systems.

    Learning Practice

  • 2.3.1.4

    Cloud Platforms

    Cloud platforms play a significant role in the IoT ecosystem, supporting data processing and storage needs.

    Learning Practice

  • 2.3.1.5

    Security Tools

    This section covers security tools essential for safeguarding IoT ecosystems, highlighting various techniques for encryption, identity verification, and access control.

    Learning Practice

  • 2.3.1.6

    User Applications

    User applications in the IoT ecosystem leverage various technologies to enable effective interaction and utilization of IoT data.

    Learning Practice

  • 2.4.1

    Type Description

    This section outlines the IoT architecture and ecosystem, detailing the four layers involved in IoT systems.

    Learning Practice

  • 2.4.1.1

    Edge Computing

    Edge computing processes data near the source of generation to reduce latency and improve efficiency.

    Learning Practice

  • 2.4.1.2

    Fog Computing

    Fog computing acts as an intermediary layer between edge devices and the cloud, facilitating quick data processing and reducing latency.

    Learning Practice

  • 2.4.1.3

    Cloud Computing

    This section focuses on cloud computing's role in the Internet of Things (IoT), differentiating it from edge and fog computing.

    Learning Practice

  • 2.5.1

    Examples Of Iot Architectures

    This section presents real-world examples of IoT architectures, demonstrating how the four-layer model is applied in practical scenarios.

    Learning Practice

  • 2.5.1.1

    Smart Home System

    This section provides an overview of the architecture and components of a smart home system, highlighting its layered approach.

    Learning Practice

  • 2.5.1.2

    Smart Agriculture System

    The Smart Agriculture System integrates IoT technologies for efficient agriculture, utilizing sensors and cloud computing to optimize resource use.

    Learning Practice

References

Chapter 2_ IoT Architecture and Ecosystem.pdf

Class Notes

Memorization

What we have learnt

  • IoT systems consist of four...
  • The IoT ecosystem encompass...
  • Edge and fog computing serv...

Final Test

Revision Tests