The IoT decision framework provides a structured approach to make a strong IoT product strategy. The IoT decision framework is all about the strategic deciding. The IoT Decision Framework helps us to know the areas where we’d like to form decisions and ensures consistency across all of our strategic business decision, technical and more.
The IoT decision framework is far more important because the product or services communicates over networks goes through five different layers of complexity of technology.
1. Device Hardware
2. Device Software
3. Communications
4. Cloud Platform
5. Cloud Application

Decision Area
The IoT decision framework pays attention to 6 key decision areas in any IoT product. These decision areas are:
1. User Experience (UX)
2. Data
3. Business
4. Technology
5. Security
6. Standards & Regulations
Each of those decision areas is evaluated at each of the IoT Technology Stack. The User Experience are going to be evaluated at Device Hardware, Device Software then to supply the higher user experience. Then at subsequent step Data Decision Area, we’ve to explore data considerations for all the stages of IoT Technology Stack.

Decision Area of the IoT Decision Framework
Let’s see each of the choice Area of IoT Decision Framework in detail:
1. User Experience Decision Area: this is often the world where we concentrate about who are the users, what are their requirements and the way to supply an excellent experience at each step of IoT stack without fear about the technical details.
2. Data Decision Area: during this area, we make the general data strategy like the data flow over the whole IoT stack to satisfy the user’s requirements.
3. Business Decision Area: supported the previous decisions area, we make the choice how product or services will became financial potential. At each of the IoT Stack level are monetized about the prices of providing services.
4. Technology Decision Area: during this area, we work with the technology for every layer to facilitate the ultimate solution.
5. Security Decision Area: After browsing the implementation of technology it’s important to make a decision and supply the safety at each stage of the IoT Stack.
6. Standards & Regulations Decision Area: At the last stage of IoT Decision Area, we identify the standards and regulations of product or services which will affect your product at each layer of the IoT Stack.
IoT Architecture
There is not such a singular or standard consensus on the web of Things (IoT) architecture which is universally defined. The IoT architecture differs from their functional area and their solutions. However, the IoT architecture technology mainly consists of 4 major components:
Components of IoT Architecture
• Sensors/Devices
• Gateways and Networks
• Cloud/Management Service Layer
• Application Layer

Stages of IoT Solutions Architecture
There are several layers of IoT built upon the potential and performance of IoT elements that gives the optimal solution to the business enterprises and end-users. The IoT architecture may be a fundamental thanks to design the varied elements of IoT, in order that it can deliver services over the networks and serve the requirements for the longer term .
Following are the first stages (layers) of IoT that gives the answer for IoT architecture.
1. Sensors/Actuators: Sensors or Actuators are the devices that are ready to emit, accept and process data over the network. These sensors or actuators could also be connected either through wired or wireless. This contains GPS, Electrochemical, Gyroscope, RFID, etc. Most of the sensors need connectivity through sensors gateways. The connection of sensors or actuators are often through an area Area Network (LAN) or Personal Area Network.
2. Gateways and Data Acquisition: because the large numbers of knowledge are produced by this sensors and actuators need the high-speed Gateways and Networks to transfer the data . This network are often of type Local Area Network (LAN like WiFi, Ethernet, etc.), Wide Area Network (WAN like GSM, 5G, etc.).
3. Edge IT: edge up the IoT Architecture is that the hardware and software gateways that analyze and pre-process the data before transferring it to the cloud. If the data read from the sensors and gateways aren’t changed from its previous reading value then it doesn’t transfer over the cloud, this protects the data used.
4. Data center/ Cloud: the data Center or Cloud comes under the Management Services which process the knowledge through analytics, management of device and security controls. Beside this security controls and device management the cloud transfers the data to the top users application like Retail, Healthcare, Emergency, Environment, and Energy, etc.
So, this brings us to the end of blog. This Tecklearn ‘IoT Decision Framework and Architecture’ 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 Course

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
Got a question for us? Please mention it in the comments section and we will get back to you.

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