(SEM V) THEORY EXAMINATION 2022-23 INTRODUCTION TO INTERNET OF THINGS

SECTION A – Short Answer Type Questions (2 Marks each)

(a) Define M2M (Machine to Machine Communication).

Machine to Machine (M2M) refers to direct communication between devices using wired or wireless networks without human intervention.
It forms the foundation of IoT by allowing devices to exchange data for automation and control.

Example:

Smart meters communicating with the power grid.

Vehicle tracking systems sending GPS data to cloud servers.

Features:

Uses cellular, Wi-Fi, or LPWAN networks.

Enables remote monitoring and predictive maintenance.

(b) What is the Use of Arduino IDE in IoT?

The Arduino IDE (Integrated Development Environment) is the software platform used to write, compile, and upload code to Arduino boards.

Functions:

Provides a text editor for writing sketches (programs).

Includes compiler to convert code into machine-readable format.

Uploads compiled code to the microcontroller via USB.

Offers library support for sensors, actuators, and IoT modules.

Example:
Used to program Arduino Uno for IoT projects like temperature monitoring or home automation.

SECTION B – Long Answer Type Questions (10 Marks each)

(a) Write Down the Characteristics of IoT.

The Internet of Things (IoT) connects physical devices to the internet, allowing them to sense, exchange, and act on data autonomously.

Key Characteristics:

Connectivity: Devices communicate using Wi-Fi, Bluetooth, Zigbee, or LTE.

Sensing: Sensors detect environmental conditions like temperature, motion, or humidity.

Interactivity: Devices respond to commands in real time (e.g., smart home control).

Intelligence: Embedded AI or ML enables decision-making.

Energy Efficiency: IoT devices are designed for low power consumption.

Scalability: Can connect billions of devices simultaneously.

Security: Data encryption and authentication ensure safe communication.

Example: Smart city infrastructure managing traffic and utilities using real-time data.

(b) Explain the Identification Technology Used in IoT. What is Intel Galileo in IoT?

Identification Technology:

Identification is crucial for recognizing and differentiating IoT devices.
Technologies used:

RFID (Radio Frequency Identification): Uses electromagnetic fields to automatically identify and track tags attached to objects.

NFC (Near Field Communication): Enables secure short-range data exchange.

Barcode and QR Codes: Simple optical identification methods.

IPv6 Addressing: Provides a unique global identity to each device.

Intel Galileo in IoT:

An open-source IoT development board based on Intel Quark SoC X1000 processor.

Compatible with Arduino IDE, supporting C/C++ programming.

Used in prototyping smart systems such as industrial monitoring and robotics.

SECTION C – Very Long Answer Type Questions (10 Marks each)

(a) Explain IoT/M2M System Layers and Design Standardization.

IoT/M2M architecture follows a layered model to manage data collection, communication, and application services efficiently.

1. Perception Layer:

Physical layer with sensors and actuators.

Collects real-world data (temperature, motion, light).

2. Network Layer:

Transmits data through communication protocols (Wi-Fi, Zigbee, 4G/5G).

Ensures secure and reliable connectivity.

3. Middleware Layer:

Processes and stores data; provides APIs for communication.

Includes cloud platforms (AWS IoT, Azure IoT Hub).

4. Application Layer:

End-user interface that provides insights or control (e.g., mobile apps, dashboards).

Design Standardization Bodies:

IEEE: Communication protocols (IEEE 802.15.4 for Zigbee).

IETF: Network standardization with IPv6.

ITU-T: Defines IoT architecture frameworks.

ISO/IEC: Security and interoperability standards.

(b) Explain Arduino and Raspberry Pi in IoT.

1. Arduino:

Microcontroller-based platform used for sensor-based and hardware control applications.

Key Features:

Open-source and easy to program using Arduino IDE.

Compatible with modules like Wi-Fi (ESP8266), Bluetooth, and GSM.

Applications:

Temperature monitoring, home automation, and data logging.

2. Raspberry Pi:

A microprocessor-based single-board computer capable of running full operating systems (like Linux).

Key Features:

Inbuilt HDMI, USB, Wi-Fi, and GPIO pins.

Supports high-level programming (Python, Node.js).

Applications:

Edge computing, AI processing, and IoT gateways.

Comparison: