Turn your smartphone into an IoT device

The number of connected devices continues to increase day-by-day. With the availability of low-cost hardware like sensors, microcontrollers, and single board computers, we’ve seen a large increase in the smart devices being deployed around us. Whether it is a dishwasher or a car, we can find sensors everywhere, and these IoT devices are getting smarter because of cloud service providers like IBM.

This tutorial is a step-by-step guide that helps you create a simple IoT system that can make use of readily available components like cloud services and a smartphone. We will be using an Android smartphone and its accelerometer sensor which will be acting as a sensor node. We will get and send that sensor data over the MQTT communication protocol to a Node-RED dashboard for analysis and visualization.

What you’ll need to build your apps

To make a working prototype, you will need:

  • An account at one of these cloud service providers:

  • An Android smartphone

  • Android Studio installed on your laptop (optional)

Architecture of our IoT system

The following figure shows an architectural overview of the IoT system where all the devices can communicate with each other by passing through the MQTT Broker. The job of MQTT broker is to ensure that the messages are delivered to the correct clients, while clients can send messages in a one-to-many fashion as well. We use Node-RED, an open-source visual programming tool, to build a dashboard to visualize the real-time accelerometer data sent from the smartphone.

IoT system architecture, showing smartphone as sensor node, MQTT broker on ubuntu server, and a Node-RED dashboard for analysis


In this tutorial, we set up an Ubuntu server on a cloud service, and install Mosquitto (an open source MQTT broker) and Node-RED (an open source low-programming tool) on it. Then, an Android smartphone acts as a sensor node (an IoT device) sending its sensor data to a Node-RED dashboard via MQTT.

  • Step 1 explains how to set up an Ubuntu server in IBM Cloud or AWS EC2 and then explains how to install Mosquitto.
  • Step 2 describes how to install and configure Node-RED on IBM Cloud or AWS EC2.
  • Step 3 explains how to create a Node-RED dashboard by importing a flow.
  • Step 4 shows how to create an Android app that turns the Android smartphone into a sensor node for sending smartphone accelerometer data to the Node-RED dashboard via the MQTT Broker.

Step 1. Installing an MQTT broker on a virtual server

In this tutorial, we will install the mosquitto MQTT broker on a virtual server, either in IBM Cloud or AWS EC2.

Setting up a baremetal server in IBM Cloud

We can get an Ubuntu server with IBM Cloud.

  1. Log in to your IBM Cloud account.

  2. Navigate to Classic > Device List from the sidebar. We are going to use IBM Classic Infrastructure for this tutorial.

    Screenshot of the Device list in IBM Cloud

  3. Click the Order button, open Virtual Server for Classic, and then click View all profiles in the Profile section. Select C1.2×2, and click Save profile.

    Screenshot of the Server profiles list in IBM Cloud

  4. Scroll down to select the operating system. Select Ubuntu, and click the Create button on the right sidebar.

  5. Go to the classic infrastructure, and then go to Security > Network Security > Security Groups. Click Create Group, and name the new group MQTT.

  6. Add a new inbound rule, with type IPv4, protocol TCP, port 1883, and source type CIDR block.

    Screenshot of adding an inbound rule to your MQTT group in IBM Cloud

  7. Go back to the dashboard and open the Devices list. You will see your newly created VPS.

    Screenshot of new virtual private server in Devices list in IBM Cloud

  8. Click the Device Name to open it. Note the public IP address from the Network details section.

    Screenshot of the network details of virtual private server in IBM Cloud

  9. In Security Groups, click View and then Allow All for both the public and private IP addresses. From the actions, the menu selects KVM Console or SSH to the server.

Setting up an Ubuntu server in AWS

We can also get the Ubuntu server with AWS. The VPS are called EC2 instances in AWS.

  1. Log in to your AWS account, and go to https://aws.amazon.com/ec2/ to create a VPS.

  2. Click Launch instance, on the next screen search for Ubuntu, Select Ubuntu Server 20.04 (Free tier eligible), and with the default settings launch it.

    Screenshot of the EC2 dashboard in AWS

  3. From the sidebar on the left, open Network & Security and select Security Groups.

    Screenshot of the Security Groups for the VPS in AWS

  4. Click the launch-wizard-1 security group, and on the Inbound Rules tab, click the Edit inbound rules button. Add a new inbound rule, with type Custom TCP, protocol TCP, port 1883, source Anywhere IPv4, and MQTT as the description. Save the rule.

    Screenshot of the Inbound rules for the VPS in AWS

  5. Go back to the Instances tab, open your newly created VPS, note down its public IP address, and click on the Connect button to open the terminal.

Installing mosquitto on our Ubuntu server

On either Ubuntu-based VPS, open the terminal, and execute the following commands to install the mosquitto MQTT broker.

sudo apt update
sudo apt upgrade
sudo apt install mosquitto -y
sudo apt-get install mosquitto-clients
sudo apt clean
sudo service mosquitto stop
sudo nano /etc/mosquitto/mosquitto.conf
sudo apt install ufw
sudo ufw allow 1883
sudo ufw allow 22
sudo ufw enable

These commands will open up the file mosquitto.conf in a terminal-based text editor. Put the following two lines at the end of the mosquitto.conf file.

listener 1883
allow_anonymous true

Then, press CTRL+O and CTRL+X to save and exit the file.

Next, start our mosquitto MQTT broker.

sudo service mosquitto start
mosquitto -v

Now you have an MQTT broker running on the port 1883 with the address, which is the public IP address of your Ubuntu server.

Step 2. Installing and configuring Node-RED

You can install and run Node-RED on IBM Cloud or AWS EC2.

Installing Node-RED

To install Node-RED on IBM Cloud, follow the steps in this tutorial, “Create a Node-RED starter application,” to install Node-RED and deploy our Node-RED app to Code Engine, a managed serverless platform.

To install Node-RED on AWS EC2, you can just follow the “Setup Node-RED” steps in the Node-RED docs for getting started on AWS because we have already created our AWS EC2 instance.

Configuring Node-RED

First, we need to add some nodes to the Node-RED palette. Open Node-RED with your App URL link, and open Menu > Manage Palette > Install. Then, search for node-red-dashboard, and click Install to install it.

Screenshot of searching for the node-red-dashboard palette of nodes in Node-RED

Step 3. Create the Node-RED dashboard

I created the Node-RED dashboard and saved the Node-RED flow to a JSON file that I stored in my GitHub repo for this tutorial.

You can import this flow into your Node-RED app to create the Node-RED dashboard.

  1. Copy the JSON file from my GitHub repo.
  2. Open your Node-RED app, and from the Node-RED menu, select Import.
  3. Paste the JSON file into the Clipboard tab.
  4. Click Import.

The overall Node-RED flow will look something like this:

Screenshot of the overall Node-RED flow in Node-RED

Now, you need to configure the MQTT node to use your mosquitto broker. Double-click the purple-colored MQTT node (named data/val/accelerometer in my flow), and specify the public IP address of your Ubuntu server (that you created in Step 1) in the Server field while keeping all other settings as default.

Screenshot of the MQTT node settings in Node-RED

Now, deploy your Node-RED app (your Node-RED dashboard) by clicking Deploy.

Once it is deployed, open the Node-RED dashboard by going to this URL http://AppURL/ui and replacing AppURL with your Node-RED app URL.

After configuring Node-RED, if you open the Dashboard you will see an empty chart. The chart is empty because we haven’t yet configured our smartphone-based sensor node and the sensor node hasn’t started sending any data yet.

Screenshot of the Node-RED dashboard app, which is empty

Step 4. Install and configure the Android app

This project uses an Android smartphone to send sensor data to the Node-RED dashboard for visualization.

  1. Clone or download my GitHub repository to your laptop.
  2. Now, you have two options:

    a. Send the Accelerometer.apk file from the downloaded repository to your smartphone. b. Compile the whole project using Android Studio and send the compiled app to your smartphone.

  3. Install the app on your Android smartphone.

  4. Open the app on your Android smartphone. The app looks like this:

    Screenshot of the Android smartphone app, showing accelerometer data

  5. Open the settings screen of the app, and enter these details:

    • Put the public IP address of your Ubuntu server where you installed the mosquitto MQTT broker.
    • In the topic field, put data/val/accelerometer. You can put anything in the topic field and the app will still work, as long as the topic of the app and the topic of the Node-RED MQTT node matches exactly.

      Screenshot of the Android smartphone app settings, specifying the IP address and topic name data/val/accelerometer

  6. Click the Connect button and go back to the home screen.

  7. Open your Node-RED Dashboard. Now, move your smartphone. You can now visualize the real-time accelerometer data being sent from your smartphone to the Node-RED dashboard.

    Screenshot of the Node-RED dashboard app, showing real-time accelerometer data that is being sent from a smartphone


In this tutorial, you learned how easy it is to set up an IoT system using just a smartphone. You also learned how to process and visualize IoT sensor data in a dashboard.

Learn more about getting started with IoT development in this learning path.


This sample and tutorial were originally developed and written by Daniel Beguelin.