Fast Prototyping of BLE Sensors for AWS Cloud Using the ATmega4809 Curiosity Nano Development Platform
The sensor edge node is controlled by the ATmega4809 microcontroller, a robust, low-power microcontroller engineered for real-time control applications. To prototype the sensor node, the ATmega4809 Curiosity Nano was used in conjunction with the Curiosity Nano Base for click boards™, which has three mikroBUS™ slots. These mikroBUS sockets are used to connect the RN4870 click board, which incorporates a Microchip RN4870 Bluetooth Low Energy module, as well as the Weather click board, which contains a BME280 sensor to provide humidity,temperature, and pressure readings. The application is intended to be an off-the-shelf system – each of the components is designed for seamless prototyping on the Curiosity Nano Platform and can quickly be configured in software through MPLAB® Code Configurator (MCC).
When the application starts, the microcontroller creates three public characteristics for pressure, temperature, and humidity data in the BLE module for the sensor data. The microcontroller reads the data from the sensor every five seconds and updates the characteristics with the respective values. A gateway is required to transmit the information to the cloud. The gateway establishes a connection with the BLE module of the end node and connects to the cloud services from a local Internet network through Ethernet or Wi-Fi®. Every five seconds, the gateway reads the characteristics and publishes the data to the cloud.
A Raspberry Pi® (RPi) 3 Model B+ board is used as a gateway since it incorporates BLE, Wi-Fi, and Ethernet modules, and it is easy to use and provides good documentation.
AWS is used for cloud services. It provides a gateway core software called AWS IoT Greengrass that allows the users to interact with the cloud. Publishing and subscription to topics can be done just by utilizing Application Programming Interfaces (API) in Lambda.
The source code for peripherals used in the microcontroller is generated using MCC. The code generator creates the structure of the project, the files, and the source code. MCC provides support for every peripheral and development extension boards such as the RN4870 click board.
The following GitHub repository contains the project source code for the ATmega4809 Curiosity Nano board together with the Lambda used by the gateway to read characteristics and publish the data to the cloud.
●This application note explains how to obtain the hardware and software configurations required by the BLE Internet of Things (IoT) project. The functionality of the example project and the AWS configurations are also detailed here.
In the example project, the featured device reads pressure, temperature, and humidity data from the weather sensor.
The sensor sends data through an I2C interface, and a five-second reading interval is used for transmitting the data to the cloud. The device exchanges information with the RN4870 BLE device through the USART interface and starts creating services and characteristics for the sensor and updates them after every reading.
The Raspberry Pi board connects to the BLE device, reads the characteristics, and, using the Greengrass core,publishes the data to the cloud. Greengrass is a gateway software provided by AWS capable of using the hardware components of the Raspberry Pi board. Thus, the gateway core can interact with nearby BLE node devices and can provide secure communication to the cloud. ●Prerequisites:
■Integrated Development Environment (IDE):
▲Atmel Studio v7 with the latest device packages installed.
▲MPLAB® X v5.30 with XC8 v2.10 compiler (used in this project).
◆MCC version 3.85.
◆AVR8 Peripheral Library AVR® microcontroller version 2.0.1.
■Microchip ATmega4809 Curiosity Nano development board
■Microchip Curiosity Nano Base for click boards™
■BLE RN4870 click board from MikroE
■Raspberry Pi 3 Model B+
■Weather click board from MikroE
■Amazon Web Services (AWS) Account
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Application note & Design Guide |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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03/2020 |
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Rev.A |
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AN3406,DS00003406A |
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1.5 MB |
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