Connecting an ESP32 to a DS18B20 Temperature Sensor Using C# and nanoFramework

Connecting an ESP32 to a DS18B20 Temperature Sensor Using C# and nanoFramework


The ESP32 microcontroller, known for its versatility in IoT applications, can be easily integrated with various sensors.

In this blog post, we will explore how to connect a DS18B20 1-Wire temperature sensor to an ESP32 and read temperature data using C# and the nanoFramework. This setup is ideal for various applications, including environmental monitoring and home automation.

Why DS18B20 and ESP32?

The DS18B20 temperature sensor offers accurate temperature readings over a 1-Wire interface, making it simple to use with minimal wiring.

Combined with the ESP32’s WiFi capabilities and the power of C# through the nanoFramework, this setup forms a robust platform for IoT temperature monitoring solutions.

Wiring Diagram

Here is a wiring diagram showing how to connect the DS18B20 temperature sensor to the ESP32:

Components Needed

  • ESP32 Development Board
  • DS18B20 1-Wire Temperature Sensor
  • 4.7kΩ Resistor (for the pull-up on the data line)
  • Breadboard and Jumper Wires

Connection Overview

  • VCC of DS18B20 to 3.3V on ESP32: Powers the sensor.
  • GND of DS18B20 to GND on ESP32: Establishes a common ground.
  • Data Line of DS18B20 to a GPIO on ESP32: Transmits data. In this example, we use GPIO 4.
  • 4.7kΩ Resistor between VCC and Data Line: Required for the 1-Wire interface to function correctly.

Writing the C# Code

Step 1: Setting Up the nanoFramework Project

Create a new nanoFramework project in Visual Studio and make sure you have the necessary NuGet packages for working with the 1-Wire protocol and the DS18B20 sensor.

See the following blog posts for help with these tasks: –

Exploring the nanoFramework Flasher Tool (nanoff) for ESP32 Development

Running C# on an ESP32 Microcontroller

Step 2: The C# Code

Here’s a simple C# program to read the temperature from the DS18B20 sensor:

using System
using System.Device.Gpio
using System.Threading
using Iot.Device.OneWire;

public class Program 

    public static void Main() 

        int pin4// GPIO pin connected to the DS18B20 data line 
        GpioController controllernew GpioController(); 
        controller.OpenPin(pin, PinMode.Input); 
        // Find the DS18B20 sensor
        OneWireThermometerDevice device = OneWireController.EnumerateDevices<OneWireThermometerDevice>(controller, pin).FirstOrDefault(); 
        if (device != null) 

            while (true) 

                double temperature = device.ReadTemperature().DegreesCelsius;
                Console.WriteLine($"Temperature: {temperature}°C"); 
                Thread.Sleep(1000); // Delay 1 second 

            Console.WriteLine("DS18B20 sensor not found."); 

Step 3: Deploying the Code

Connect your ESP32 to your computer and use Visual Studio to deploy the program. The temperature readings from the DS18B20 sensor will be displayed in the output console.

Best Practices and Troubleshooting

  • Use Quality Components: Ensure that your DS18B20 sensor and resistor are of good quality for accurate readings.
  • Check Connections: Verify that all connections on the breadboard are secure.
  • Firmware Updates: Keep your ESP32 firmware and nanoFramework libraries up to date.
  • Error Handling: Implement proper error handling for robust applications.


Integrating a DS18B20 temperature sensor with an ESP32 using C# and the nanoFramework is a straightforward process that opens up numerous possibilities in IoT applications.

This guide provides the fundamental steps to create a temperature monitoring system, combining accurate sensor data with the advanced capabilities of the ESP32 and the power of C#.

Whether for hobbyist projects or professional IoT solutions, this setup offers a versatile and effective approach to temperature monitoring.


Hi, my name is Stephen Finchett. I have been a software engineer for over 30 years and worked on complex, business critical, multi-user systems for all of my career. For the last 15 years, I have been concentrating on web based solutions using the Microsoft Stack including ASP.Net, C#, TypeScript, SQL Server and running everything at scale within Kubernetes.