IPDL Kits User Manuals

Internet of Things (IoT) — IDPL Laboratory
IoT Development Boards, Platforms, Sensors, Actuators, Cloud & Communication Protocols

Laboratory Overview
Subject	Internet of Things / IDPL
Laboratory Type	Practical / Experiential Learning
Platforms	Arduino, NodeMCU, ESP8266, ESP32, Raspberry Pi
Technologies	IoT, Cloud, Web, MQTT, REST, TCP/UDP, IEEE 802.15.4, 6LoWPAN
Target Users	Diploma / Undergraduate Students

Laboratory Hardware

Arduino Uno Board
Used for Arduino programming, LED control, sensor interfacing and Bluetooth-based automation experiments.
Sensor & Actuator Board
Includes sensors and actuators used for temperature, light, distance, display, servo and automation experiments.
IoT & Actuator Board
Includes DC motor, stepper motor, ESP-based communication and other IoT-oriented interfaces.

Objectives

The objectives of this laboratory are to:

Understand different development boards used for Internet of Things applications.
Study and compare different IoT platforms and cloud services.
Develop basic IoT applications using Arduino, NodeMCU, ESP8266, ESP32 and Raspberry Pi.
Interface sensors and actuators with IoT development boards.
Implement IoT-based monitoring and control applications.
Understand cloud connectivity and IoT data visualization.
Develop web-based IoT applications using HTTP.
Understand IoT communication protocols such as MQTT, REST, TCP/UDP and 6LoWPAN.
Develop small IoT solutions for real-world problems.

Experiments

Group A — Compulsory Experiments

ID	Experiment	Platform / Technology
IDPL - 1	IDPL - 1: Study and Survey of Various Development Boards for IoT	Arduino, NodeMCU, ESP8266, ESP32, Raspberry Pi
IDPL - 2	IDPL - 2: Study and Survey of Various IoT Platforms	IoT Platforms / Cloud Platforms
IDPL - 3	IDPL - 3: LED Blinking with Arduino Uno	Arduino Uno, LED
IDPL - 4	IDPL - 4: IoT Sensor Interface with Arduino	Arduino Uno, Temperature / Light Sensors
IDPL - 5	IDPL - 5: Integration of Actuators with NodeMCU	NodeMCU, Servo Motor, Relay
IDPL - 6	IDPL - 6: DC Motor and Stepper Motor Control with Raspberry Pi	Raspberry Pi, DC Motor, Stepper Motor

Group B — Any Three Experiments

ID	Experiment	Platform / Technology
IDPL - 7	IDPL - 7: LED Control Using ESP8266 and Blynk App	ESP8266, Blynk
IDPL - 8	IDPL - 8: Cloud Ready Temperature Sensor Using Raspberry Pi and ThingSpeak	Raspberry Pi, DHT11, ThingSpeak
IDPL - 9	IDPL - 9: Web-Based Home Automation Using Arduino Uno and Bluetooth	Arduino Uno, Bluetooth, Home Automation
IDPL - 10	IDPL - 10: HTTP Server Using ESP32 for Actuator Control	ESP32, HTTP, Web Server, LED, Buzzer, Relay
IDPL - 11	IDPL - 11: Web-Based Display of Humidity and Temperature Data	Temperature / Humidity Sensor, Web Application

Group B Requirement: Any Three experiments from IDPL-7 to IDPL-11 are to be performed.

Group C — Mini Project

ID	Mini Project	Key Technologies
IDPL - 12	IDPL - 12: TCP/UDP Server for Sensor Data	Arduino / Raspberry Pi, TCP, UDP, Sensor Data
IDPL - 13	IDPL - 13: 6LoWPAN Protocol Demonstration	6LoWPAN, IPv6, IEEE 802.15.4, IoT Gateway
IDPL - 14	IDPL - 14: Temperature Publishing Using MQTT / RESTful APIs	Temperature Sensor, MQTT, REST API
IDPL - 15	IDPL - 15: IoT-Based Small Project	IoT, Simulation Platforms, Automation, Social / Environmental Applications

Group C Requirement: One mini project is to be performed by a group of 3 students.

Group C — Mini Project Guidelines

Students may select one of the prescribed mini-project topics or develop an IoT solution based on a small real-world problem statement.

Possible application areas include:

Smart Home / Home Automation
Environmental Monitoring
Social Issues
Chatbot-based IoT Applications
Smart Agriculture
Smart Campus
Industrial IoT
Energy Monitoring
Safety and Security

The project may be implemented using physical IoT hardware or an IoT simulation platform such as Tinkercad or Cooja, depending on the selected problem statement.

Technologies Covered

Category	Technologies / Platforms
Development Boards	Arduino Uno, NodeMCU, ESP8266, ESP32, Raspberry Pi
Sensors	Temperature Sensor, DHT11, Light Sensor and other IoT Sensors
Actuators	LED, Buzzer, Relay, Servo Motor, DC Motor, Stepper Motor
Cloud Platforms	Blynk, ThingSpeak and other IoT Platforms
Web Technologies	HTTP, Web Server, Web Application
Communication	Bluetooth, TCP, UDP, MQTT, REST
Networking	IPv6, IEEE 802.15.4, 6LoWPAN
Simulation	Tinkercad, Cooja

Learning Outcomes

After completing this laboratory, students will be able to:

Identify and compare different development boards used in IoT applications.
Select appropriate IoT platforms for a given application.
Program Arduino, ESP8266, ESP32, NodeMCU and Raspberry Pi platforms.
Interface sensors and actuators with IoT development boards.
Develop basic IoT monitoring and control applications.
Connect IoT devices to cloud platforms.
Develop web-based IoT control and monitoring applications.
Implement basic IoT communication using MQTT, REST, TCP and UDP.
Understand IPv6 communication over IEEE 802.15.4 using 6LoWPAN.
Design and implement a small IoT-based solution for a real-world problem.

Experiment Workflow

The general workflow for performing the experiments is:

Understand the objective and problem statement.
Identify the required development board, sensors and actuators.
Study the circuit / hardware connections.
Connect the required components.
Install and configure the required programming environment.
Write or modify the program.
Compile and upload the program to the development board.
Establish the required network, Bluetooth or cloud connection.
Test the IoT application.
Observe and record the results.
Troubleshoot hardware, software and communication issues.
Document the experiment and conclusion.

Software & Development Tools

Tool / Platform	Purpose
Arduino IDE	Programming Arduino, ESP8266, ESP32 and compatible boards.
Blynk	Mobile / web-based IoT device control and monitoring.
ThingSpeak	Cloud-based IoT data collection and visualization.
Tinkercad	Simulation of Arduino and electronic circuits.
Cooja	Simulation and experimentation with IoT / low-power networks.
Web Browser	Accessing web-based IoT dashboards and ESP32 web servers.
Serial Monitor	Debugging and monitoring communication between the computer and IoT board.

Experiments Mapping with Kit

The following document provides the mapping between the prescribed IDPL experiments and the components available in the laboratory kit.

📄 Download IDPL Experiments Mapping (PDF)

Arduino IDE Installation Guide

The Arduino IDE can be used for programming Arduino Uno, ESP8266, ESP32 and other supported development boards.

📄 Download Arduino IDE Installation Guide (PDF)

Applications

The concepts covered in this laboratory can be extended to:

Smart Home Automation
Smart Agriculture
Smart Campus
Industrial IoT
Environmental Monitoring
Remote Monitoring
Energy Management
Healthcare Monitoring
IoT-Based Security Systems
Robotics and Automation