Embedded Devices (System) in (IoT) and IoT Ecosystem

Last updated on May 30 2022
Kritika Singh

Table of Contents

Embedded Devices (System) in (IoT) and IoT Ecosystem

It is essential to understand about the embedded devices while learning the IoT or building the projects on IoT. The embedded devices are the objects that build the unique computer system. These systems may or might not hook up with the web.
An embedded device system generally runs as one application. However, these devices can connect through the web connection, and able communicate through other network devices.

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Embedded System Hardware

The embedded system are often of type microcontroller or type microprocessor. Both of those types contain a microcircuit (IC).
The essential component of the embedded system may be a RISC family microcontroller like Motorola 68HC11, PIC 16F84, Atmel 8051 and lots of more. the foremost important factor that differentiates these microcontrollers with the microprocessor like 8085 is their internal read and writable memory. The essential embedded device components and system architecture are specified below.

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Fig: Basic Embedded System

Embedded System Software

The embedded system that uses the devices for the OS is predicated on the language platform, mainly where the real-time processing would be performed. Manufacturers build embedded software in electronics, e.g., cars, telephones, modems, appliances, etc. The embedded system software are often as simple as lighting controls running using an 8-bit microcontroller. It also can be complicated software for missiles, process control systems, airplanes etc.

IoT Ecosystem

The IoT ecosystem isn’t easy to define. it’s also difficult to capture its proper image thanks to the vastness and emerging possibility and therefore the rapidity with which it’s expanding within the entire sector. However, the IoT ecosystem may be a connection of varied quite devices that sense and analyze the data and communicates with one another over the networks.
In the IoT ecosystem, the user uses smart devices like smartphones, tablet, sensors, etc. to send the command or request to devices for information over the networks. The device response and performs the command to send information back to the user through networks after analyzed.
The typical IoT ecosystem is shown in below image, where the smarter devices send and receive data from the devices themselves within the environment that are integrate over network and Cloud Computing.

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The IoT is itself an ecosystem of network devices that transfer the data . it’s also well interconnected with Big Data and Cloud Computing.
• Sensing, Embedded processing, Connectivity: The IoT ecosystem senses its surrounding like temperature, gyroscope, pressure, etc. and make the embedded processing using devices. These devices are connected through any sort of devices like GPS, WiFi, RFID, etc. over the networks.
• Smart devices and environment, Cloud Computing, Big Data: the data transfer or receive through smart devices and environments are communicated through Cloud Computing or others Servers and stored as Big Data.
• Technology, Software, Application: The IoT ecosystem uses any of various technologies, software and application to speak and connect with smart devices and environment.
• Users or groups of community: the merchandise or services generated by the IoT ecosystem are consumed by the users or the group of communities to serve the smart life.
So, this brings us to the end of blog. This Tecklearn ‘Embedded Devices (System) in (IoT) and IoT Ecosystem’ blog helps you with commonly asked questions if you are looking out for a job in Internet of Things (IoT). If you wish to learn IoT and build a career in Internet of Things (IoT) domain, then check out our interactive, Internet of Things (IoT) Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

IoT (Internet of Things) Training

Internet of Things (IoT) Training

About the Cours

Internet of Things or IoT, as it is widely known, simply put, is a network of devices which can communicate with each other with regards to sending, receiving and analyzing data. Tecklearn’s IoT Training as an online training platform delivers you the best in the industry IoT knowledge by certified and experienced trainers to master IoT. Interactive sessions include two real-time projects to provide in-depth understanding of advanced IoT concepts that covers IoT methods and technologies, application deployment, network and communication protocols and integrations, security measures and real-time data management on the internet. You will learn IoT introduction, significance, building your own IoT devices, sensors, IoT communication and security. This training will help you be a part of the IoT revolution underway around the globe.

Why Should you take IoT (Internet of Things) Training?

• The average salary for an IoT Engineer is $163,514 per year in the United States. (Indeed.com)
• Many industries such as Eddie Stobart Transport and Logistics Company, the Amazon, Dell, Aviva, German Auto Manufacturer Daimler, the John Deere Company and Walt Disney Land are all utilizing the Internet of Things technology to monitor various activities and advance their existing systems.
• Gartner Says 5.8 Billion Enterprise and Automotive IoT Endpoints Will Be in Use in 2020

What you will Learn in this Course?

Introduction to Internet of Things
• What is IoT, how does it work
• IoT vs IIoT
• Business Cases of IIoT
• Industry 4.0
• Properties of IoT device
• IoT Ecosystem
• IoT Decision Framework
• IoT Solution Architecture Models
• How IoT is Transforming Businesses
• Major IoT Boards in Market
IoT Communication Protocols
• Types of wireless communication
• Major wireless Short-range communication devices and properties
• Comparison of these devices (Bluetooth, WIFI, ZigBee, 6LoWPAN)
• Major wireless Long-range communication devices and properties, Comparison of these devices (Cellular IoT, LPWAN)
IoT Architecture
• The IoT Stack Architecture and the various components and layers
• The app, the data processing and platform
• IoT OS like Contiki, FreeRTOS and mbe
• The edge and the connected thing or device
IoT Sensors and Device Platforms
• Introduction to IoT Sensors and the role they play in getting the IoT systems work efficiently
• Micro-electromechanical systems revolutionizing IoT sensors
• Use Case of Water Quality Monitoring
• Use Case: Sericulture
• Difference between microcontroller and microprocessor
• IoT Device Platforms – Arduino, Raspberry Pi etc
• Smartphone Centric Architecture
• IoT Application Layer protocols
• Hands On
Arduino Platform and Arduino Interfacing
• Arduino physical board, libraries and the Integrated Development Environment
• Arduino Shields various operations such as heat and light sensing, GPS, UI display
• Programming Arduino using C language
• Controlling external devices using pins on the Arduino board
• The Arduino Interface
• Reading inputs from various sources and providing an output
• Working with sensors for sensing and controlling the physical world
• Deploying various types of sensors and connecting it to the Arduino
• Constant conversion between analog and digital signals for information exchange between the physical and digital domains
• Hands On
Raspberry Pi Platform and Raspberry Pi Interfacing
• Introduction to Raspberry Pi
• Set up of Raspberry Pi environment
• Coding for the Raspberry Pi using Python
• Deploying Python-based Integrated Development Environment
• Interfacing the Raspberry Pi with the physical world
• Introducing the various input and output devices
• Raspberry Pi expansion boards for building complex hardware setup
• Real-time demo of Raspberry Pi interfacing
• Hands On
Arduino Uno Wifi and IoTivity
• Iotivity
• Iotivity Architecture
• Hands On
Netduino Platform and Netduino Interfacing
• Introduction to Netduino Platform
• Setting up the Netduino environment
• Coding for the Netduino
• Interfacing the Netduino with the physical world
• Introducing the various input and output devices
• Real-time demo of Netduino interfacing
• Hands On
IoT for Arduino, NodeMCU and Netduino
• Control LED light using Netduino board
• NodeMCU
• Blynk
Project: Building WSN with MQTT, Raspberry Pi & Arduino
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