Secure Smart Home Automation System Using Esp32 And Aws — Complete Documentation & Simulation

Overview & System Context

Secure Smart Home Automation System Using Esp32 And Aws: Comprehensive Web-Sourced Technical Investigation Exhaustive Research Dossier · Pure Web-Scraped Content: ~8519 Words · Real Software Screenshots: 3 1. Executive Overview & Technical Background ESP32 is a family of low-cost, energy-efficient microcontrollers that support both Wi-Fi and Bluetooth. These chips feature several processing options, including the Tensilica Xtensa LX6 microprocessor available in dual-core and single-core variants, the Xtensa LX7 dual-core processor, or a RISC-V microprocessor. The ESP32 incorporates components for wireless data communication such as built-in antenna switches, an RF balun, power amplifiers, low-noise receivers, filters, and power-management modules. Typically, the ESP32 is embedded on device-specific printed circuit boards (PCBs) or offered as part of development kits that include a variety of GPIO pins and connectors, with configurations varying by model and manufacturer. The ESP32 was designed by Espressif Systems and is manufactured by TSMC using their 40 nm process. It is a successor to the ESP8266 microcontroller.

ESP32 is housed in quad-flat no-leads (QFN) packages of varying sizes with 49 pads. Specifically, 48 connection pads along the sides and one large thermal pad (connected to ground) on the bottom. The ESP32 system on a chip integrated circuit is packaged in both 6 mm × 6 mm and 5 mm × 5 mm sized QFN packages. In 2020, chips ESP32-D0WDQ6 and ESP32-D0WD also got a V3 version (ESP32 ECO V3), which fixes some of the bugs and introduces improvements over the previous versions.

Figure 1: List of 100+ ESP32 Based Projects with Circuits & Code Development and break-out boards extend wiring and may add functionality, often building upon ESP32 module boards and making them easier to use for development purposes, especially with breadboards. ESP-IDF – Espressif's official IoT Development Framework for the ESP32, ESP32-S, ESP32-C and ESP32-H series of SoCs.

Arduino-ESP32 – Arduino core for the ESP32, ESP32-S2, ESP32-S3 and ESP32-C3. ESP32forth – FORTH implementation for ESP32 Espruino – JavaScript SDK and firmware closely emulating Node.js MicroPython (and CircuitPython) – lean implementation of Python 3 for microcontrollers Mongoose OS – an operating system for connected products on microcontrollers; programmable with JavaScript or C. A recommended platform by Espressif Systems, AWS IoT, and Google Cloud IoT. mruby and picoruby for the ESP32 Nim for the ESP32 NodeMCU – Lua-based firmware Rust Swift Visual Studio Code with the officially supported Espressif Integrated Development Framework (ESP-IDF) Extension Zerynth – Python for IoT and microcontrollers, including the ESP32 Matlab Simulink Zig for the ESP32 This project implements an end-to-end IoT smart home automation system using an ESP32 microcontroller, secure cloud communication, and a real-time web dashboard.

The system collects live sensor data, applies automation logic at the edge and in the cloud, and allows manual control through an interactive interface. Figure 2: Home Automation using Amazon AWS IoT Core & ESP32 Using a simple Arduino sketch, an AWS Serverless Application Repository application, and a microcontroller, you can build a basic serverless workflow for communicating with an AWS IoT Core device.

A microcontroller is a programmable chip and acts as the brain of an electronic device. It has input and output pins for reading and writing on digital or analog components. Those components could be sensors, relays, actuators, or various other devices. It can be used to build remote sensors, home automation products, robots, and much more. The ESP32 is a powerful low-cost microcontroller with Wi-Fi and Bluetooth built in and is used this walkthrough.

The Arduino IDE, a lightweight development environment for hardware, can be used to program an ESP32. There is a large collection of community and officially supported libraries, from addressable LED strips to spectral light analysis . This post walks through deploying an application from the AWS Serverless Application Repository . This allows an AWS IoT device to be messaged using a REST endpoint powered by Amazon API Gateway and AWS Lambda . The AWS SAR application also configures an AWS IoT rule that forwards any messages published by the device to a Lambda function that updates an Amazon DynamoDB table, demonstrating basic bidirectional communication.

Figure 3: ESP32 Smart Home Automation using DWIN HMI Display The last section explores how to build an IoT project with real-world application. By connecting a thermal printer module and modifying a few lines of code in the example firmware, the ESP32 device becomes an AWS IoT–connected printer. All of this can be accomplished within the AWS Free Tier , which is necessary for the following instructions.

An example of an AWS IoT project using an ESP32, AWS IoT Core, and an Arduino thermal printer. The Arduino IDE is an open-source development environment for programming microcontrollers. It can support a continuously growing number of platforms including most ESP32-based modules. It must be installed along with the ESP32 board definitions, MQTT library, and ArduinoJson library.

The Arduino IDE is now installed and configured with all the board definitions and libraries needed for this walkthrough. Keep the Serial Monitor open. When connected to Wi-Fi and then AWS IoT Core, any messages received on the topic esp32/sub are logged to this console. The device is also now publishing to the topic esp32/pub. The topics are set at the top of the sketch. When changing or adding topics, remember to add permissions in the device policy .

Within this sketch, the relevant functions are publishMessage() and messageHandler() . The publishMessage() function creates a JSON object with the current time in milliseconds and the analog value of pin A0 on the device. It then publishes this JSON object to the topic esp32/pub . Additional topic subscriptions can be added within the connectAWS() function by adding another line similar to the following.

Now that an ESP32 device has been connected to AWS IoT, the following steps walk through deploying an AWS Serverless Application Repository application. This is a base for building serverless integration with a physical device. The TopicPublisher Lambda function is invoked by the API Gateway endpoint and publishes to the AWS IoT topic esp32/sub . 2. To test that the TopicPublisher function is working, enter the following into a terminal or command-line utility, replacing ENDPOINT with the URL from above.

With the completion of the previous steps, the ESP32 device currently logs incoming messages to the serial console. The following steps demonstrate how the code can be modified to use incoming messages to interact with a peripheral component. This is done by wiring a thermal printer to the ESP32 in order to physically print messages. The REST endpoint from the previous section can be used as a webhook in third-party applications to interact with this device.

If successful, the device prints out the message “Hello World” from the attached thermal printer. This is a fully serverless IoT printer that can be triggered remotely from a webhook. As an example, this can be used with GitHub Webhooks to print a physical readout of events. Using a simple Arduino sketch, an AWS Serverless Application Repository application, and a microcontroller, this post demonstrated how to build a basic serverless workflow for communicating with a physical device. It also showed how to expand that into an IoT thermal printer with real-world applications.

With the use of AWS serverless, advanced compute and extensibility can be added to an IoT device, from machine learning to translation services and beyond. By using the Arduino programming environment, the vast collection of open-source libraries, projects, and code examples open up a world of possibilities. The next step is to explore what can be done with an Arduino and the capabilities of AWS serverless . The sample Arduino code for this project and more can be found at this GitHub repository .

This AWS IoT Solution Guidance shows device makers (OEMs) and IoT developers how to design and deploy production-ready smart home platforms that deliver seamless, secure, and differentiated end-user and consumer experiences. The guidance outlines proven architectural patterns for the end-to-end smart home lifecycle, from device onboarding and data ingestion to fleet management, real-time monitoring, and over-the-air (OTA) updates. It explains how to implement secure command and control, manage device fleets at scale, and ensure user privacy through robust identity and access controls. It also details how to establish a data Lakehouse foundation that unlocks long-term business value; powering analytics, AI/ML personalization, predictive maintenance services, and self-service diagnostics and support for users. By following these AWS-validated best practices, OEMs can accelerate development, reduce operational complexity, and launch smart home solutions that are resilient, secure, future-proof, and ready to scale globally.

Bring new features to market faster with a cloud foundation that scales securely as your business grows globally, in volume or more diverse in product portfolio. Deploying on a managed IoT platform simplifies device connectivity, data management, and operations, freeing your teams to focus on your end customer experience instead of infrastructure. Streamlined data flows and real-time insights reduce time-to value, while built-in scalability and reliability turn innovation into a repeatable process.

With AWS as the backbone, you can move from concept to customer impact in weeks, not months. Harness device telemetry and user interaction data through integrated analytics services. Transform every connected device into a continuous feedback engine. By capturing and analyzing real-time telemetry, user interactions, and performance data, gain a clear view of how products behave in the field and how customers truly use them. A unified data Lakehouse and integrated AI/analytics services convert raw signals into precise, actionable intelligence, revealing emerging issues before they become problems, uncovering hidden usage patterns, and identifying the features that drive engagement. These insights fuel faster iteration, smarter product decisions, and proactive support experiences that build trust and loyalty. Every device event becomes an opportunity to innovate, optimize, and strengthen your customer relationship.

Streamline and automate connectivity, secure provisioning, and configuration with workflows built to manage millions of devices globally. Ensure continuous, resilient connectivity, from onboarding to decommissioning, so every device stays secure, operational, and connected throughout its entire lifecycle. Transform device data into intelligence with integrated AI/ML pipelines, predict issues before they occur, personalize user experiences, and automate device recovery through real-time insights. AI-powered self-service support, fueled by telemetry and natural language interaction, enables users to diagnose and resolve issues instantly, reducing ticket volume and service costs. With this foundation, every product becomes more reliable, every customer experiences more intuitive, and every support interaction a chance to learn and improve.

Every connected device is a source of continuous customer and product insight. When data from millions of homes flows securely into a unified AWS IoT and analytics architecture, it adds to operational visibility and becomes a foundation for measurable business outcomes. A centralized data Lakehouse built on AWS (S3, Glue, Athena, Redshift, QuickSight, SageMaker) makes data accessible and actionable across the organization. It can be used to deliver on Product Innovation and Quality Improvement, Customer Experience and Retention, Operational Efficiency and Cost Reduction, event ally leading to New Revenues and Service Models.

Smart Home devices generate various types of data (telemetry, alerts, command responses) to be consumed by different categories of users. This diagram illustrates how to build robust data ingestion pipelines with AWS IoT Core as message broker. Smart Homes allow users to control and monitor their devices even when outside of the home premises. This diagram illustrates how to build these capabilities at scale by bundling AWS IoT suite with other AWS managed services.

A successful Smart Home solution requires continuous monitoring of devices operations. This diagram illustrates how to enforce operational excellence at scale for large smart home devices fleets. Beyond the usual Command & Control features, Generative AI unlocks new type of use cases for Smart Home users. This diagram illustrates how AI Agents can leverage Device documentation and past activity to enable ‘self-service’ customer support.

A complete, foundational solution for connecting an ESP32 to AWS IoT Core over secure MQTT — publishing live sensor data with NTP timestamps to the cloud and receiving LED control commands from AWS. This project demonstrates two-way MQTT communication between an ESP32 microcontroller and AWS IoT Core: The ESP32 connects to an NTP server to timestamp sensor readings, and controls a programmable LED (GPIO 13) based on commands received from the cloud.

This solution uses the Adafruit HUZZAH32 (WROOM32-based), but any generic ESP32 development board supported by the Arduino IDE will work. Note: This policy grants broad permissions for prototyping. Restrict it to specific topics and actions before any production use. Go to Tools > Board > Boards Manager , search esp32 (by Espressif Systems), and install If a library isn't found in the manager, download the ZIP from its GitHub repo and use Sketch > Include Library > Add .ZIP File .

This solution gives you a secure, bidirectional MQTT link between an ESP32 and AWS IoT Core. With this foundation in place, you can extend it using the full AWS ecosystem: This solution demonstrates how to integrate Espressif's ESP32 microcontroller with the AWS IoT ecosystem using MQTT as the pub/sub protocol to exchange messages/commands between the ESP32 and the IoT service.

2. System Architecture & Core Working Principles This is a simple Home Automation Project using Amazon AWS IoT Core & ESP32 WiFi Module. Earlier we learned about Getting Started with AWS IoT Core with ESP32 and also ESP8266 . We also made an AWS IoT Lamp using the ESP32 & controlled the lamp through the AWS Dashboard.

This tutorial is all about Controlling Peripherals like AC Appliances like bulbs via Relay from AWS IoT Dashboard using ESP32 WiFi Module. We would basically call it a Home Automation Project. Home automation is the automatic control of electronic devices in your home. These devices are connected to the Internet , which allows them to be controlled remotely. Earlier we made so many Home Automation projects which are as follows: For this project, we will need the following components. The component list, footprint, and quantity are given below.

Let us take a look at the Schematic of AWS IoT Core Based Home Automation Project with ESP32. The schematic is drawn using the Altium Designer Software. We used SMD resistors, capacitors, and LED with the 0805 package. To convert 220V AC to 5V DC , we used an AC-to-DC Converter from Hi-Link . For providing power to ESP32 raw chip and other peripherals, a low-power LDO HT7333 IC was used. To separate the high-power line from the 3.3V circuit PC817 optocoupler IC is used. The LED5 in the circuit is used to indicate power.

Similarly the LED1, LED2, LED3 & LED4 is used to represent Relay1, Relay2, Relay3 & Relay4 output respectively. The LED5 is a power indication LED. The 4 Relays are connected to ESP32 via GPIO Pins 12, 14, 27, 26. The push buttons SW1, SW2, SW3 , and SW4 are used in the manual controlling of Relays. They are connected to GPIO Pins 5, 17, 13, 16. You may attach a manual switch there and program the controller to control the circuit.

You can connect 4 home appliannces using the Relay connections at 3 Pin Terminal J2, J3. J4, J 5. The 2 Pin Terminal J1 is used to supply AC Power directly to the Circuit. A Capacitor C12 of 220uF, 25V is connected to PCB stop voltage fluctuations. To program the ESP32 raw chip , the FTDI pin is provided. We can connect an FTDI Module (USB-to-TTL Converter) to program the ESP32 Chip directly.

We have designed the PCB using the Altium Designer Software . It took quite a lot of time fixing all the isses in the PCB but still we managed to design a complete working custom PCB. The PCB design looks like this. The Gerber File for the PCB is given below. You can simply download the Gerber File and order the PCB from PCBGOGO at 1$ only.

You can use this Gerber file to order high-quality PCB for this project. To do that visit the PCBGOGO official website by clicking here: https://www.pcbgogo.com/ . You can now upload the Gerber File by choosing the Quote Now option. From these options, you can choose the Material Type, Dimensions, Quantity, Thickness, Solder Mask Color and other required parameters.

After filling all details, select your country and shipping method. Finally you can place the order. The PCB quality from PCBGOGO is superb with very high quality. That is why most people trust PCBGOGO for PCB/PCBA Services. First solder all the SMD components like resistors, capacitors, transistors, LEDs, voltage regulators & diodes. Be careful about the SMD LED polarity, place it in the proper direction. The SMD soldering is to be done on the both sides.

After soldering all these, you can solder the ESP32 raw chip . The final stage would be soldering all the through-hole components like Optocoupler IC, terminal block, Relays, male-female headers, and AC-to-DC Converter Module. After soldering all the components, the ESP32 Home Automation Board is ready for the test. You can upload a blink sketch by connecting a USB-to-TTL Converter Module.

Note: There were some voltage fluctuation issues in the designed PCB, so I have updated the design by adding 220uF capacitor. Also, some connection issues have been fixed. The Gerber file above is updated and the PCB would be little different from shown above. But overall the functionality is same. The signing up part for the Amazon Web Services is already explained in the previous post. You can follow the AWS IoT Core Getting Started tutorial.

After successfully signing in, the AWS Management Console window will open. In the services search tab at the top right ‘IoT core’ & hit enter. On the left side of the dashboard, there are so many options. But we need to work with two options here. One is the manage option and the other one is the secure option.

Now we need to create a thing associated with our project. For this, follow the following steps: Under the manage option click on Thing. Now we need to create a Thing here. So, click on Create Things here. You can select whether create a single thing or create many things. But for our applications, select create a single thing. Then click on Next.

Here we need to specify the Thing properties. First, give a thing name. You can name it anything. For example, I will name it Home_Automation . Under the device shadow option, select the first option as No shadow. Then click on Next. Now you need to configure device certificate. So here you can auto-generate a new certificate or use your own certificate or upload CSR or skip this.

But the AWS recommendation is to select the Auto Generate New Certificate. Then click on Next. Now we need to attach a policy to the Things we created. But no policies are here right now. So we need to create a policy first. So click on create policy. Here give any name to the policy. For example, I will give it a name as “ Automation_Policy “ .

Now click on create to create the policy. So the policy has been created successfully. Now go back to Create Thing option. So a policy option will appear. We need to attach the policies to the certificate. So select the appeared policy and click on create a thing. First, download the device certificate and then rename it as a device certificate for identification.

Also, download the public key and rename it as a public key. Then download the private key and rename it as a private key. In the Root CA Certificates, there are two certificates here. But we just need a Root CA1 certificate , so download it as well. The Source Code/Program for Home automation using Amazon AWS IoT Core & ESP32 is written in Arduino IDE. Before moving to the code part, we need to install few libraries to the Arduino IDE. Download the PubSubClient Library and add it to the Arduino IDE library folder.

Here is the complete code for the project that requires a lot of modifications. Copy it and paste it to your Arduino IDE. Here we need to include a thing name. You can go to the things section of AWS Console and copy the thing name. The Things name in this project is Home_Automation. Paste the thing name to the following line of code. Under the WiFi SSID and password, enter the WiFi SSID and Password of your local network.

Now, we need to insert the AWS IoT Endpoint here. To get the endpoint, go to the settings part of AWS Dashboard. Yow will get the endpoint. Click on the copy icon to copy the endpoint. Go back to Arduino IDE and paste it on the following line. So for this, we need to go back to the certificate that we downloaded earlier. Open this file with Notepad++ and copy all the text.

Then go back to Arduino IDE and insert the copied text between begin certificate and the end certificate. Under the “ Device Certificate ” lines, we need to paste the device certificate text. So open the device certificate file that we downloaded earlier. And again copy the text and paste it between the begin certificate and end certificate section. Under the “ Device Private Key “, we need to insert the device’s private key. So go to the downloaded folder again and open the device’s private key file using Notepad++. Again copy the text and paste it between begin & end parts.

So all the modification of the Arduino Sketch for ESP32 AWS IoT Core Home Automation Project is done now. Then go to the tools & select ESP32 Board that you are using for this project. Also, select the COM port. Then click on the upload option to upload the code to the ESP32 board. The ESP32 will try connecting to the WiFi Network. Once it gets connected to the WiFi Network, it will try connecting to the AWS IoT Server. The Serial Monitor will show this message.

Now we need to check whether we are able to publish a topic to control all the home appliances. 3. Software Implementation, Frameworks & Protocols To do that, you need to publish a topic. For that type “esp32/sub“ under the topic filter section. Under Message Payload type the following command a command to turn ON/OFF the Relay respectively.

Type ON1, ON2, ON3, ON4 to turn ON Relay1, Relay2, Relay3, Relay4. Similarly type OFF1, OFF2, OFF3, OFF4 to turn OFF Relay1, Relay2, Relay3, Relay4 repectively. Under additional configuration do nothing. Then click on publish. Immediately you can see the message sent to the Serial Monitor.

At this moment the Relay4 will turn ON immediately. And any appliances connected to the Relay4 will turn ON. Now to turn OFF the Relay2, send OFF2 from the publish window of AWS Dashboard. The Relay4 should turn OFF immediately. This is how you can control any home appliances with Amazon AWS IoT Core using ESP32 WiFi Module & make your own Home Automation project. The demo is done with 4 different Relays. You can control any appliances through those Relays.

In this blog post, We're going to connect an ESP32 microcontroller to AWS IoT Core. We'll use DynamoDB for data storage and trigger AWS Lambda functions, all programmed in Golang. This guide is perfect for anyone interested in building IoT projects using ESP32 and AWS. We'll walk through each step, making it easy to follow along, even if you're new to these technologies. Let’s get started! In this project, We utilize a range of technologies and techniques to achieve seamless integration between the ESP32 microcontroller and AWS services. Here's a breakdown of what We use: First, let's create a folder for our project. We'll use PlatformIO to create a new project inside that folder. We'll call our project esp32_to_aws_hardware_example . Then We'll open the project in VSCode.

Press F1 to open the command palette and type PlatformIO: New Terminal . This will open a new terminal in VSCode. We'll use this terminal to run all the commands in this guide. First We need to delete all cache files. Then We can create a new project. This command is optional you can skip it. In platformio.ini file We can add libraries and board informations. We need to add the following libraries to our project: At this point, I want to talk about the lib_extra_dirs and board_build.filesystem parameters. We need to add the lib_extra_dirs parameter to the platformio.ini file to use the libraries in the lib folder. We need to add the board_build.filesystem parameter to the platformio.ini file to use the LittleFS file system.

Exit the project and restart the VSCode. Then We can see the platformIO tasks in our project: When I tried to use interface of the platformIO to create a new project, It didn't work properly. So I used the command line to create the project. I didn't understand why it didn't work. If you know the reason, please let me know in the comments. In this part, We're going to set up a 'thing' in AWS IoT Core. This 'thing' represents our ESP32 microcontroller in the AWS cloud. We'll also download the SSL certificates required for secure communication. Here's how We do it: The file names are too long and you can change the names. So do I. I changed the names as follows: In this part, We're going to configure the ESP32 filesystem to connect to AWS IoT Core. We'll use the LittleFS file system to store the SSL certificates and the AWS IoT Core endpoint. Here's how We do it: In the root directory of your project, create a folder called data . This folder will contain all the files We need to store in the ESP32 filesystem.

Note : The data folder must be in the root directory of your project. Otherwise, the ESP32 will not be able to find the files. The mqtt_config.json file will contain the AWS IoT Core endpoint, port, clientId, and topic to publish data. To get host information We need to go to the AWS IoT Core console and click on the Settings tab. Then We can see the endpoint information.

In this part, We're going to write the ESP32 code for connecting to AWS IoT Core. We'll use the PubSubClient library to connect to AWS IoT Core using MQTT. First We need to create the models for the wifi, mqtt and certificate configurations. We'll create the following models in the model folder in the lib folder.

Now We can create a service that will read the wifi, mqtt and certificate configurations from the files and return the models. We'll create the following service in the service folder in the lib folder. We read the files in the data folder. Then We deserialize the JSON data using the ArduinoJson library. We return the models We created using the data We read.

In this part, We're going to write the main.cpp file. We'll use the PubSubClient library to connect to AWS IoT Core using MQTT. We'll use the ConfigService We created to read the wifi, mqtt and certificate configurations from the files. We'll use the models We created to store the configurations. To test esp32-aws connection, We need to build and upload the code and folders to the esp32. We can do this using the platformIO tasks. We need to run the following tasks After the Clicking the Build Filesystem Image task, We can see the following output in the terminal: Now You can upload the filesystem image to the esp32. To do this, We need to run the Upload Filesystem Image task: ESP32 is ready to upload the code. To do this, We need to run the Upload Code task but I go with the Upload and Monitor task to see the output after uploading the code.

After clicking the Upload and Monitor task, We can see the following output in the terminal: As you can see, the esp32 is connected to AWS IoT Core. Now We can send data to AWS IoT Core. In this part, We're going to send data to AWS IoT Core. I have a dht11 sensor and I want to send the temperature and humidity data to AWS IoT Core. I'll use the following libraries to read the data from the sensor: After adding these libraries, platformIO will download the libraries and add them to the lib folder. If not, you need to open platformIO terminal and run the following command: First, We need to create a model for the sensor data. We'll create the payload model in the model folder in the lib folder.

For the payloadModel We need to create a json string. We'll use the ArduinoJson library to create the json string. This code reads the temperature and humidity data from the sensor and sends it to AWS IoT Core every 10 seconds as json data. To test the code run the Upload and Monitor task. After uploading the code, We can see the following output in the terminal: Building a SAM CloudFormation Template: Integrating DynamoDB, IoT Core Rule, and Lambda In this part, We're going to build a SAM CloudFormation template. We'll use the template to create a DynamoDB table, an IoT Core rule, and a Lambda function. Here's how We do it: We added 2 policies to the role. The first policy is for logging. The second policy is for DynamoDB. The lambda function will write data to DynamoDB. So We need to add the DynamoDB policy to the role. For now dynamodb:PutItem is enough for us but We can add other dynamodb actions to the policy.

This function will be triggered by the IoT Core rule. The function will write the data to DynamoDB. clientId + createdAt is the composite primary key. We can use this key to save the data that have same clientId but different createdAt. This rule will trigger the lambda function when the data is sent to the esp32/sensor/test topic.

In this part, We're going to write the lambda function code. We'll use the AWS SDK for Go to write the lambda function. Note : We will use the go.work so that we can use the models, services and libraries in the lambda function. lib folder has the its own go.mod module so If we want to use it in the lambda functions it must be in the same root level with the lambda functions but it is not. To solve this problem We need to add the lib and lambda functions to the go.work file. Keep in mind that information If you want to refactor the services and models for the aws lambda functions in golang.

While using dynamo db we need the table name. So We need to create a constant for the table name. It is related to Globals in the template file. ThingPayload is the payload model We will use it as event in our lambda function. ThingData is for dynamo db. We'll use ThingData to save the data to DynamoDB.

4. Practical Deployment, Analysis & Case Studies ThingPayload and ThingData have properties in common so We can use ThingPayload as an embedded struct in ThingData. CreateThing function will be used to save the data to DynamoDB.

As You can see we used the os.Getenv(constants.THING_TABLE_NAME_KEY) to get the table name. This is related to Globals in the template file.

First we log the event. Then We get the current time. After that We create a session. Then We create a thingDataDbService. Finally We create a thingData and save it to DynamoDB. In this part, We're going to deploy the SAM template. We'll use the AWS CLI to deploy the SAM template. We will use Makefile to run the AWS CLI commands. Here's how We do it: I create clean-deploy target to clean the cache and deploy the template because sometimes the changes in lib folder are not reflected in the lambda function. So We need to clean the cache and deploy the template again.

To test it, I think it is enough to check the DynamoDB table. So We need to go to the DynamoDB console and click on the Tables tab. Then We can see the ThingDataTable table. As We can see, the data sent by the esp32 is saved to DynamoDB. Everything looks working properly. In this article, We learned how to connect the esp32 to AWS IoT Core. We learned how to send data to AWS IoT Core. We learned how to create a SAM template to create a DynamoDB table, an IoT Core rule, and a Lambda function. We learned how to write a lambda function to save the data to DynamoDB. We learned how to deploy the SAM template. We learned how to test our architecture.

I hope you enjoyed this article. If you have any questions or suggestions, please feel free to ask me in the comments. Smart home automation system using Raspberry Pi, IoT sensors, and AWS. Features mobile/web app control, real-time sensor data analysis, cloud storage with AWS RDS, AI predictions, and AWS SNS notifications for a secure, automated home environment. Let’s walk through the steps of the smart home automation project, starting from hardware selection to cloud deployment.

Sure! Here’s an updated version of the document, now including a step for creating SMS and email alerts in the Smart Home Automation project using AWS services. This document outlines the steps for developing a Smart Home Automation system using the ESP32 microcontroller to control various home appliances and AWS Cloud services to manage and store data.

The Smart Home Automation project combines the capabilities of the ESP32 microcontroller with the power of AWS Cloud services, providing a robust and scalable solution for home automation. By following the steps outlined above, you can successfully deploy a fully functional smart home system that can send SMS and email alerts based on real-time data. Smart home automation system using ESP32, IoT sensors, and AWS. Features mobile/web app control, real-time sensor data analysis, cloud storage with AWS RDS, AI predictions, and AWS SNS notifications for a secure, automated home environment.

This tutorial instructs you how to use ESP32 with AWS IoT Core. In detail, we will learn: The ESP32 connects to AWS IoT Core using the MQTT protocol. While libraries are available to facilitate this connection, it's not as straightforward as connecting to a local MQTT broker like Mosquitto on your PC. This is because AWS IoT Core has strict security measures in place, requiring configuration steps to obtain authentication credentials and authorization before integrating them into the ESP32 code. In summary, the process involves two main steps: Below are instructions on configuring AWS IoT Core for use with ESP32 via the AWS IoT Console. Please note that while the User Interface may change over time, the process should remain similar to the instructions provided below: Among downloaded files, there are three files will be used in the ESP32 code in the next steps: The above ESP32 code periodically read data from an analog pin and send it to AWS IoT every 4 seconds. If opening the Serial Monitor on Arduino IDE, you will see the log like below: You are able to send the data from AWS IoT Console to the ESP32 by doing the following steps: Now, you can establish bidirectional communication between the ESP32 and AWS IoT Core. This means you can send data from the ESP32 to AWS IoT Core and receive data from AWS IoT Core on the ESP32. Additionally, you have the capability to configure IoTRules, enabling the ESP32 to seamlessly connect with other AWS services such as Lambda, DynamoDB, Amplify, and RDS. With IoTRules, you can automate actions based on data received from the ESP32, enabling a wide range of IoT applications and integrations.

This is a getting started tutorial about Amazon Web Services , i.e AWS IoT Core with ESP32 . The AWS IoT Core is a managed cloud service that lets connected devices easily and securely interact with cloud applications and other devices. In this tutorial, we will learn how you can connect the ESP32 with AWS IoT Core & publish sensor reading to AWS MQTT . For a demo, we will use the DHT11 Sensor and read the humidity temperature data. The ESP32 will connect to the local WiFi network and will post the DHT11 Sensor data to AWS IoT Cloud . Not only posting data, but we can also receive the data from AWS Dashboard. Earlier we posted the sensor Data to AWS Dashboard using AWS IoT Core & ESP8266 .

This tutorial is for beginners who want to learn about the Amazon AWS IoT Core for IoT Applications . Earlier we learned about the IoT platform like Google Firebase and Arduino IoT Cloud . But with AWS IoT Core, you can build and manage devices for commercial applications. The hardware required for this project is an ESP32 Wifi Module. And for the sensor part, we will use DHT11 Humidity and Temperature Sensor.

You can use a breadboard for connection or simply use a male-to-female connector wire. AWS offers Internet of Things (IoT) services and solutions to connect and manage billions of devices. These cloud services connect your IoT devices to other devices and AWS cloud services. AWS IoT provides device software that can help you integrate your IoT devices into AWS IoT-based solutions. If your devices can connect to AWS IoT, AWS IoT can connect them to the cloud services that AWS provides.

AWS IoT lets you select the most appropriate and up-to-date technologies for your solution. To help you manage and support your IoT devices in the field, AWS IoT Core supports these protocols: Getting started with AWS IoT core is very simple. You just need to follow the following steps given below to successfully set up the ESP32 board and start with your very first project.

Basically we need to set up the AWS Account now. Therefore create an account using the email ID and password. The account also requires your bank Credit card information. There will be no charges but AWS just needs a verification using your bank account. It will also ask for phone number verification. Hence the account will be successfully created. After successfully signing in, the AWS Management Console window will open. In the services search tab at the top write ‘IoT core’ & hit enter.

On the left side of the dashboard, there are so many options. But we need to work with two options here. One is the manage option and the other one is the secure option. Now we need to create a thing associated with our project. For this, follow the following steps: Under the manage option click on Thing. Now we need to create a Thing here. So, click on Create Things here.

You can select whether create a single thing or create many things. But for our applications, select create a single thing. Then click on Next. Here we need to specify the Thing properties. First, give a thing name. You can name it anything. For example, I will name it ESP32_DHT11 .

Under the device shadow option, select the first option as No shadow. Then click on Next. Now you need to configure device certificate. So here you can auto-generate a new certificate or use your own certificate or upload CSR or skip this. But the AWS recommendation is to select the Auto Generate New Certificate. Then click on Next.

Now we need to attach a policy to the Things we created. But no policies are here right now. So we need to create a policy first. So click on create policy. Here give any name to the policy. For example, I will give it a name as “ ESP32_Policy “ . Now click on create to create the policy. So the policy has been created successfully.

Now go back to Create Thing option. So a policy option will appear. We need to attach the policies to the certificate. So select the appeared policy and click on create a thing. First, download the device certificate and then rename it as a device certificate for identification. Also, download the public key and rename it as a public key. Then download the private key and rename it as a private key.

In the Root CA Certificates, there are two certificates here. But we just need a Root CA1 certificate , so download it as well. So first go to the library manager and search for “JSON” & install the library as shown in the figure below. Again go to the library manager and search for “PubSubClient” & install the library from Nick O’Leary. The code/program that interfaces ESP32 with DHT11 Sensor & connects to the Amazon AWS IoT Core is written in Arduino IDE. The code is divided into two sections. One is the main ino file and other the header file.

5. Performance Evaluation & Extended Technical Observations Open a New Tab in Arduino IDE and name it as Secrets.h. And paste the following code to this file. Now it’s time to modify the Arduino Sketch File. Go to secrets.h tab and begin the modification. Here we need to include a thing name. You can go to the things section of AWS Console and copy the thing name.

Under the WiFi SSID and password, enter the WiFi SSID and Password of your local network. Now, we need to insert the AWS IoT Endpoint here. To get the endpoint, go to the settings part of AWS Dashboard. Yow will get the endpoint. Click on the copy icon to copy the endpoint. Go back to Arduino IDE and paste it on the following line.

So for this, we need to go back to the certificate that we downloaded earlier. Open this file with Notepad++ and copy all the text. Then go back to Arduino IDE and insert the copied text between begin certificate and the end certificate. Under the “ Device Certificate ” lines, we need to paste the device certificate text. So open the device certificate file that we downloaded earlier. And again copy the text and paste it between the begin certificate and end certificate section.

Under the “ Device Private Key “, we need to insert the device’s private key. So go to the downloaded folder again and open the device’s private key file using Notepad++. Again copy the text and paste it between begin & end parts. So all the modification of the Arduino ESP32 Sketch related to AWS IoT Core is done now. Once all the modification is done, connect the ESP32 to your computer. Then go to the tools & select ESP32 Board that you are using for this project. Also, select the COM port. Then click on the upload option to upload the code to the ESP32 board.

Once the code uploading is done, open the Serial Monitor. The ESP32 will try connecting to the WiFi Network. Once it gets connected to the WiFi Network, it will try connecting to the AWS IoT Server. Now to see the data, you need to publish to a topic. For that type “ esp32/sub “ under the topic filter section. Under additional configuration do nothing. Then click on publish.

Immediately you can see the message sent to the Serial Monitor. This is amazing again. You can use this method to Control an LED using publish method. Hi, thanks very much for the info. How make App (app inventor) to connect to this AWS? I need to use the same certs, key, in the app? Thanks I get an error from Arduino IDE of MD5 mismatch. It compiles fine, it’s just when I try to Upload to bootloader through Arduino IDE.

I was able to fix it with just wiping the flash and uploading a basic app to the esp32 and then trying this one again. Works like a champ now! I’ve followed this example and when I monitor the messages, the first message comes through but none after that…. If I reset the Microcontroller via reprogramming it or the reset button it resends a single sensor reading. But nothing after that. The Publishing of data to the serial monitor also doesn’t work. Any suggestions as what to try? I have established a connection between ESP32 and AWS IoT Core and I can share data fluently but when I increase the time interval from 1 second to 1-15 minutes the connection is lost or not detected. What is the reason behind it? you have to modify the “KEEP ALIVE” parameter to prevent the connection to time out….

When moving from hobbyist IoT platforms to enterprise-grade cloud deployments, data security and infrastructure scalability become your primary design requirements. While public MQTT brokers or standard HTTP endpoints work well for simple prototypes, they fall short under commercial production demands. Enterprise architectures require end-to-end payload encryption, strict device access control policies, and seamless data routing pipelines that scale to manage millions of concurrent connections.

Unlike simpler cloud brokers, AWS IoT Core enforces strict security defaults, requiring Mutual TLS (mTLS) authentication using unique X.509 cryptographic certificates for every single connected device. This guide covers the underlying mechanics of asymmetric client authentication, cloud identity provisioning, and how to program a secure, hardware-accelerated telemetry streaming pipeline on the ESP32.

The foundational difference between AWS IoT Core and standard message brokers is its strict security model. To establish a connection, the network requires a bidirectional handshake called Mutual TLS. In standard web browsing (HTTPS), authentication is one-way: your web browser verifies the identity of the server using an internal list of trusted root certificates, but the server does not verify your machine's identity at the hardware layer.

AWS IoT Core enforces Mutual TLS (mTLS) . During the initial connection handshake over TCP port 8883, two distinct verifications occur simultaneously: Executing RSA-2048 or ECC cryptographic signature checks and running TLS 1.2 protocol envelopes requires significant computational math. On older 8-bit or single-core microcontrollers, this math can freeze execution threads for multiple seconds or exhaust system memory entirely.

The ESP32 handles these resource demands using an integrated Hardware Cryptographic Accelerator Subsystem . This dedicated silicon block offloads SHA-2, RSA, AES, and Big Number calculation math from the primary dual-core CPUs. This hardware acceleration allows the ESP32 to establish secure mTLS connections and parse encrypted packets in milliseconds without interrupting your real-time sensor loops.

Before your hardware can establish a network connection, you must provision its identity and access rights within your AWS Management Console. This architecture maps out across three distinct cloud resources: Things, Certificates, and Policies . A "Thing" is a digital twin entry inside your AWS IoT asset registry that represents your physical microcontroller device. While creating a Thing entry is not strictly required to route basic MQTT messages, registering your hardware links it to the AWS ecosystem. This connection allows you to track device metadata, run remote diagnostic jobs, and leverage Device Shadows—JSON documents that store and synchronize your hardware's state across network drops.

When you register a device, AWS generates a unique set of three X.509 cryptographic files: a public key, a private key, and a device certificate. You must extract the contents of the Device Certificate and the Private Key and embed them directly into your ESP32's firmware code. Critical Security Rule: The private key file is generated exactly once. If you close the download window before saving it to a secure location, it is permanently lost, and the associated certificate becomes useless.

An activated certificate has zero permissions by default. To allow your device to communicate, you must attach an AWS IoT Policy to its certificate. These policies use structured JSON syntax to enforce the security principle of Least Privilege , restricting your device's access to only its explicitly assigned data lanes. This policy configuration restricts the device, ensuring it can only connect using its designated client ID ( ESP32_Node_01 ) and publish only to its assigned data topic ( esp32/telemetry ), isolating it from adjacent enterprise data lanes.

To manage secure network sockets, execute TLS handshakes, parse MQTT packets, and format structured JSON strings, pull in the following baseline libraries: To prevent embedding thousands of lines of raw cryptographic certificate text directly into your main code file, isolate your keys inside a dedicated header configuration sheet named secrets.h .

With your credentials safely isolated inside secrets.h , implement the main communication application logic as follows: When maintaining secure cloud data pipelines between the ESP32 and AWS IoT Core, adhere to these strict software engineering guidelines: For a step-by-step video demonstration covering the configuration of the AWS IoT console, generating X.509 certificates, attaching secure policy documents, and establishing connection pipelines using the Arduino ecosystem, watch the AWS IoT Core Setup Tutorial for ESP32 . This video guide provides a practical walkthrough for setting up cloud endpoints and testing your device connections in real time using the AWS MQTT test client console.

As we venture further into building sophisticated IoT solutions, the need to connect our embedded devices to robust cloud platforms becomes increasingly apparent. Cloud services offer scalability, extensive data storage, powerful processing capabilities, advanced analytics, and seamless integration with other web services. Amazon Web Services (AWS) IoT Core is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.

In previous chapters, we’ve explored various communication protocols, including MQTT. AWS IoT Core heavily relies on MQTT for device communication, making it a natural fit for our ESP32 projects. This chapter will guide you through the process of registering your ESP32 as a “Thing” in AWS IoT Core, establishing secure communication using X.509 certificates, and exchanging data using MQTT and the Device Shadow service. By leveraging AWS IoT Core, your ESP32 applications can become part of larger, more intelligent, and globally accessible IoT ecosystems.

AWS IoT Core is a central component in the AWS IoT suite of services. It acts as a gateway, allowing devices to connect to the AWS cloud and routing messages between devices and AWS cloud services. Its key functionalities include: ESP-IDF provides an esp-aws-iot component that simplifies integration with AWS IoT Core. This component is based on the AWS IoT Device SDK for Embedded C. It provides APIs for: You’ll typically configure this component with your device certificates, private key, root CA certificate, and AWS IoT endpoint.

Important: Replace YOUR_AWS_REGION and YOUR_AWS_ACCOUNT_ID with your actual values. The ${iot:ClientId} variable allows the policy to be generic for any device whose client ID matches its Thing Name. This policy is quite permissive for development; for production, restrict topics more granularly. Note: You’ll need to add protocol_examples_common.c and its header to your project for example_connect() , or implement your own Wi-Fi connection logic (as shown in earlier chapters). Ensure Wi-Fi SSID/Password are set in menuconfig -> Example Connection Configuration .

Note: A full shadow example is more complex and involves careful JSON parsing and state management. The esp-idf/examples/protocols/aws_iot/shadow example is a good reference. IMPORTANT : Please choose the branch of this repo, based on the FreeRTOS-LTS release that you would like to base your application on.

If you are using the older (3.x.x) aws-iot-device-sdk-embedded-C release, please checkout the release/v3.1.x branch. Harvested Online Documentation & Reference Sources • https://en.wikipedia.org/wiki/ESP32 • https://lazaromartull.github.io/projects/esp32_smart_home_hub/ • https://aws.amazon.com/blogs/compute/building-an-aws-iot-core-device-using-aws-serverless-and-an-esp32/ • https://docs.aws.amazon.com/solutions/building-smart-home-solutions-on-aws-iot/ • https://github.com/scriptbuzz/aws-iot-esp32-arduino • https://how2electronics.com/home-automation-using-amazon-aws-iot-core-esp32/ • https://dev.to/dinckan_berat/esp32-to-aws-complete-iot-solution-with-iot-core-dynamodb-and-lambda-functions-in-golang-5h 2f • https://github.com/AI-Intern-3/SmartHome-IoT-Automation • https://esp32io.com/tutorials/esp32-aws-iot • https://how2electronics.com/connecting-esp32-to-amazon-aws-iot-core-using-mqtt/