Module 1: Introduction (4 hours)
History of Internet of Things (IoT), Hardware/Software components: micro-controller (ESP32, Arduino Uno, Raspberry Pi, NVidia board, ARM), sensors and actuators, Software Programming: Python and Arduino Software (IDE), REACT/REACT NATIVE, NodeJS, Database: MySQL/SQLite/MongoDB, Network techniques: Ethernet, WiFi, LiFi, FSO, LORA, GSM, ZigBee, Bluetooth
Module 2: Basics of Networking (6 hours)
OSI Layers: Protocol Layering-Scenarios, principles, Logical connection-connection oriented and connection less, Protocols in computer communications, OSI reference model - functions of all layers, TCP/IP: TCP/IP-Model, protocols layers, INTERNET Address, logical address, Physical address, UDP/IP Datagram Format, classes of IP address, Dotted Decimal notation of IP address, basics of IPv4 and IPv6, simple problems on addressing
Module 3: IoT Networking (10 hours)
IoT Connectivity techniques: Ethernet, WiFi, LiFi, FSO, LORA, GSM, ZigBee, Bluetooth,
Infrastructure Protocols: IPv6, LOADng, RPL, 6LoWPAN, QUIC, Micro Internet Protocol (uIP), Nano Internet Protocol, Content-centric Networking
Discovery Protocols: Physical Web, Multicast DNS (mDNS), Universal plug and play (UPnP)
Data Protocols: MQTT, MQTT-SN, CoAP, AMQP, XMPP, SOAP, REST, WebSocket
Identification Protocols: EPC, uCode, URIs
Device Management Protocols: TR-069, OMA-DM
Semantic Protocols: JSON-LD, Web thing model
Associated IoT Technology: Cloud Computing, Fog Computing, Edge Computing, Sensor-Cloud, Interaction between software and hardware in an IoT device.
Module 4: IoT Programming (4 hours)
Introduction to Arduino Programming: Integration of Sensors and Actuators with Arduino, IoT connectivity with Arduino.
Introduction to Python programming: Integration of Sensors and Actuators with Raspberry Pi, IoT connectivity with Raspberry Pi, Machine learning concept and its application in IoT using Raspberry Pi.
Module 5: Case studies of IoT Applications (4 hours)
Machine-to-Machine Communications, smart home, smart vehicle, smart traffic, smart agriculture, smart light controller, Smart Camera, Smart Radar, Smart Drone.

To understand the theory of IoT and its applications.

Discuss the motivation and its uses.

To understand the concept of IoT communication techniques, which covers IoT protocols, Cloud based design and AI/Deep learning based analytics.

4. Deployment of IoT technology for real applications.

CO1: Students get insight to understand the concept of IoT.

CO2: To understand different IoT protocol suites.

CO3: To understand the applications of IoT

CO4: To understand the knowledge of hardware and software integration.

CO5: To get the knowledge of IoT device programming.

CO6: To understand and implement practical and real time use of IoT in real applications.

S. Misra, A. Mukherjee, and A. Roy, Introduction to IoT, Cambridge University Press.

S. Misra, C. Roy, and A. Mukherjee, Introduction to Industrial Internet of Things and Industry 4.0, CRC Press

A. S. Tanenbaum, Computer Networks, PHI

Charles Bell, MicroPython for the Internet of Things: A Beginner’s Guide to Programming with Python on Microcontrollers, Apress