2. IOT
• Network of physical objects-“things”-that are embedded with sensors, software, and other
technologies for the purpose of connecting and exchanging data with other devices and
systems over the internet.
• An IOT ecosystem consists of web-enabled smart devices that use embedded systems, such
as processors, sensors and communication hardware, to collect, send and act on data
they acquire from their environments.
3. USES OF IOT
• Manufacturing Industry
• Agriculture Industry
• Healthcare
• Home Automation
• Automobile and Transportation
• Energy Sector
4. WHY IOT?
Connectivity
Enables devices to connect to the internet.
Share data and communicate with other devices.
Devices can work together.
7. WHY IOT?
Innovation
creating new products and services that were not possible before.
lead to new business opportunities.
8. WHY IOT?
Data
Data can be analysed in the future
gain insights into consumer behavior
optimize operations
9. LAYERS OF IOT
ARCHITECTURE
• Device Layer
• Communication's Layer
• Data Storage and Processing
• Application Layer
10. DEVICE LAYER
• First layer of IoT architecture is a sensing layer
• Includes devices , sensors, and actuators
• Collect data from their surroundings
11. COMMUNICATION LAYER
• Transports data from the Device Layer to the Internet
• Security functionality including authentication, encryption and malware
protection
12. DATA STORAGE AND PROCESSING
• structured to handle data analysis and pre-processing.
• Located in the cloud.
• Data can be accessed by applications for edge analytics in use cases
like autonomous vehicles where real-time data is necessary.
• Data is monitored and managed while the processing is completed.
14. LAYERS OF IOT ARCHITECTURE
• Device Layer: A temperature sensor takes temperature readings inside a
refrigerator.
• Communications Layer: Readings are sent to a router via a proprietary
protocol and sent to the cloud.
• Data Storage and Processing Layer: The cloud stores and processes the
incoming data to generate alerts in real time and, when possible, reduce the
total amount of data stored.
• Application layer: The cloud generates reports and analysis for end users
to applications and record keeping, via both web interfaces and email
delivery.
15. PROTOCOL’S IN IOT
• MQTT ( Message Queuing Telemetry Transport )
• CoAP ( Constrained Application Protocol )
• HTTP ( Hypertext Transfer Protocol )
• DDS ( Data Distribution Service )
• Bluetooth
• LoRaWAN
16. MQTT
• set of rules
• lightweight messaging between devices and the cloud
• Used where reliability and low bandwidth are critical
• supports messaging between devices to the cloud and the cloud to the
device
17. MQTT
• Lightweight and efficient
• requires minimal resources
• control message can be as little as two data bytes.
• Scalable
• requires a minimal amount of code that consumes very little power in operations
• support communication with a large number of IoT devices.
• Reliable
• reduce the time the IoT device takes to reconnect with the cloud
• Secure
• encrypt messages and authenticate devices
• Well-supported
• languages have extensive support for MQTT protocol
• implement with minimal coding in any type of application.
18. HTTP
• sending and receiving data between web servers and IoT devices.
• used for IoT devices when there is a lot of data to be published
• connect 3D printers in the network.
19. NODEMCU
• Also known as ESP8266 NodeMCU
• NodeMCU is an open-source platform, its hardware design is open for
edit/modify/build
• Has 8 Digital and 1 Analog Pins
• It supports serial communication protocols i.e. UART, SPI, I2C, etc
23. SPI
• communication typically happens over short
distances used on a circuit board
• low amount of data transmission
• Have 4 wires to operate
• SCLK
• MOSI
• MISO
• SS
24. I2C
• Only uses two wires
• Supports multiple
masters and multiple
slaves
• Hardware is less
complicated than with
UARTs
• Well known and widely
used protocol
25. UART
• Intergrated circuit in a computer or an microcontroller
• Data is transferred bit by bit using a single line or wire
• Change parallel data into serial data for outbound communications
• Change serial data into parallel data for inbound communications
26. • Low current consumption
• More no of digital I/O Pins
• Better processor and memory
• Breadboard friendly
• Built in WiFi
BENEFITS
35. HANDS ON PROJECTS
• Led Blink
• WiFi Connection
• WiFi with LED
• Interfacing with DHT22
• NodeMCU as a WebServer
• Sending data from sensor to Thingspeak,Firebase,Adafruit IO over IOT
36. CHALLENGES IN LARGE SCALE IOT
• Scalability
• Data management
• Security
• Interoperability
• Cost
37. TOPICS DISCUSSED
• What is meant by IOT
• Uses of IOT
• Introduction to NodeMCU
• Hands on Projects
• Case Studies
• Challenges in large scale IOT