Posts Tagged BLE

BLE and GATT for IoT: Getting Started with Bluetooth Low Energy and the Generic Attribute Profile Specification for IoT


According to Wikipedia, Bluetooth is a wireless technology standard used for exchanging data between fixed and mobile devices over short distances. Bluetooth Low Energy (Bluetooth LE or BLE) is a wireless personal area network (WPAN) technology designed and marketed by the Bluetooth Special Interest Group (Bluetooth SIG). According to the Bluetooth SIG, BLE is designed for very low power operation. BLE supports data rates from 125 Kb/s to 2 Mb/s, with multiple power levels from 1 milliwatt (mW) to 100 mW. Several key factors influence the effective range of a reliable Bluetooth connection, which can vary from a kilometer down to less than a meter. The newer generation Bluetooth 5 provides a theoretical 4x range improvement over Bluetooth 4.2, from approximately 200 feet (60 meters) to 800 feet (240 meters).

Wikipedia currently lists 36 definitions of Bluetooth profiles defined and adopted by the Bluetooth SIG, including the Generic Attribute Profile (GATT) Specification. According to the Bluetooth SIG, GATT is built on top of the Attribute Protocol (ATT) and establishes common operations and a framework for the data transported and stored by the ATT. GATT provides profile discovery and description services for the BLE protocol. It defines how ATT attributes are grouped together into sets to form services.

Given its low energy consumption and well-developed profiles, such as GATT, BLE is an ideal short-range wireless protocol for Internet of Things (IoT) devices, when compared to competing protocols, such as ZigBee, Bluetooth classic, and Wi-Fi. In this post, we will explore the use of BLE and the GATT specification to transmit environmental sensor data from an IoT Sensor to an IoT Gateway.

IoT Sensor

In this post, we will use an Arduino single-board microcontroller to serve as an IoT sensor, actually an array of sensors. The 3.3V AI-enabled Arduino Nano 33 BLE Sense board, released in August 2019, comes with the powerful nRF52840 processor from Nordic Semiconductors, a 32-bit ARM Cortex-M4 CPU running at 64 MHz, 1MB of CPU Flash Memory, 256KB of SRAM, and a NINA-B306 stand-alone Bluetooth 5 low energy module.


The Sense also contains an impressive array of embedded sensors:

  • 9-axis Inertial Sensor (LSM9DS1): 3D digital linear acceleration sensor, a 3D digital
    angular rate sensor, and a 3D digital magnetic sensor
  • Humidity and Temperature Sensor (HTS221): Capacitive digital sensor for relative humidity and temperature
  • Barometric Sensor (LPS22HB): MEMS nano pressure sensor: 260–1260 hectopascal (hPa) absolute digital output barometer
  • Microphone (MP34DT05): MEMS audio sensor omnidirectional digital microphone
  • Gesture, Proximity, Light Color, and Light Intensity Sensor (APDS9960): Advanced Gesture detection, Proximity detection, Digital Ambient Light Sense (ALS), and Color Sense (RGBC).

The Sense is an excellent, low-cost single-board microcontroller for learning about collecting and transmitting IoT sensor data.

IoT Gateway

An IoT Gateway, according to TechTarget, is a physical device or software program that serves as the connection point between the Cloud and controllers, sensors, and intelligent devices. All data moving to the Cloud, or vice versa goes through the gateway, which can be either a dedicated hardware appliance or software program.


In this post, we will use a recent Raspberry Pi 3 Model B+ single-board computer (SBC), to serve as an IoT Gateway. This Raspberry Pi model features a 1.4GHz Cortex-A53 (ARMv8) 64-bit quad-core processor System on a Chip (SoC), 1GB LPDDR2 SDRAM, dual-band wireless LAN, Bluetooth 4.2 BLE, and Gigabit Ethernet. To follow along with the post, you could substitute the Raspberry Pi for any Linux-based machine to run the included sample Python script.


The Arduino will transmit IoT sensor telemetry, over BLE, to the Raspberry Pi. The Raspberry Pi, using Wi-Fi or Ethernet, is then able to securely transmit the sensor telemetry data to the Cloud. In Bluetooth terminology, the Bluetooth Peripheral device (aka GATT Server), which is the Arduino, will transmit data to the Bluetooth Central device (aka GATT Client), which is the Raspberry Pi.


Arduino Sketch

For those not familiar with Arduino, a sketch is the name that Arduino uses for a program. It is the unit of code that is uploaded into non-volatile flash memory and runs on an Arduino board. The Arduino language is a set of C/C++ functions. All standard C and C++ constructs supported by the avr-g++ compiler should work in Arduino.

For this post, the sketch, combo_sensor_ble.ino, contains all the code necessary to collect environmental sensor telemetry, including temperature, relative humidity, barometric pressure, and ambient light and RGB color. All code for this post, including the sketch, can be found on GitHub.

The sensor telemetry will be advertised by the Sense, over BLE, as a GATT Environmental Sensing Service (GATT Assigned Number 0x181A) with multiple GATT Characteristics. Each Characteristic represents a sensor reading and contains the most current sensor value(s), for example, Temperature (0x2A6E) or Humidity (0x2A6F).

Each GATT Characteristic defines how the data should be represented. To represent the data accurately, the sensor readings need to be modified. For example, using ArduinoHTS221 library, the temperature is captured with two decimal points of precision (e.g., 22.21 °C). However, the Temperature GATT Characteristic (0x2A6E) requires a signed 16-bit value (-32,768–32,767). To maintain precision, the captured value (e.g., 22.21 °C) is multiplied by 100 to convert it to an integer (e.g., 2221). The Raspberry Pi will then handle converting the value back to the original value with the correct precision.

The GATT specification has no current predefined Characteristic representing ambient light and RGB color. Therefore, I have created a custom Characteristic for the color values and assigned it a universally unique identifier (UUID).

According to the documentation, ambient light and RGB color are captured as 16-bit values (a range of 0–65,535). However, using the ArduinoAPDS9960 library, I have found the scale of the readings to be within a range of 0–4097. Without diving into the weeds, the maximum count (or saturation) value is variable. It can be calculated based upon the integration time and the size of the count register (e.g., 16-bits). The ADC integration time appears to be set to 10 ms in the library’s file, Arduino_APDS9960.cpp.

RGB values are typically represented as 8-bit color. We could convert the values to 8-bit before sending or handle it later on the Raspberry Pi IoT Gateway. For the sake of demonstration purposes versus data transfer efficiency, the sketch concatenates the 12-bit values together as a string (e.g., 4097,2811,1500,4097). The string will be converted from 12-bit to 8-bit on the Raspberry Pi (e.g., 255,175,93,255).

Description: Transmits Arduino Nano 33 BLE Sense sensor readings over BLE,
including temperature, humidity, barometric pressure, and color,
using the Bluetooth Generic Attribute Profile (GATT) Specification
Author: Gary Stafford
Reference: Source code adapted from `Nano 33 BLE Sense Getting Started`
Adapted from Arduino BatteryMonitor example by Peter Milne
Generic Attribute Profile (GATT) Specifications
GATT Service: Environmental Sensing Service (ESS) Characteristics
sint16 (decimalexponent -2)
Unit is in degrees Celsius with a resolution of 0.01 degrees Celsius
uint16 (decimalexponent -2)
Unit is in percent with a resolution of 0.01 percent
Barometric Pressure
uint32 (decimalexponent -1)
Unit is in pascals with a resolution of 0.1 Pa
#include <ArduinoBLE.h>
#include <Arduino_HTS221.h>
#include <Arduino_LPS22HB.h>
#include <Arduino_APDS9960.h>
const int UPDATE_FREQUENCY = 2000; // Update frequency in ms
const float CALIBRATION_FACTOR = –4.0; // Temperature calibration factor (Celsius)
int previousTemperature = 0;
unsigned int previousHumidity = 0;
unsigned int previousPressure = 0;
String previousColor = "";
int r, g, b, a;
long previousMillis = 0; // last time readings were checked, in ms
BLEService environmentService("181A"); // Standard Environmental Sensing service
BLEIntCharacteristic tempCharacteristic("2A6E", // Standard 16-bit Temperature characteristic
BLERead | BLENotify); // Remote clients can read and get updates
BLEUnsignedIntCharacteristic humidCharacteristic("2A6F", // Unsigned 16-bit Humidity characteristic
BLERead | BLENotify);
BLEUnsignedIntCharacteristic pressureCharacteristic("2A6D", // Unsigned 32-bit Pressure characteristic
BLERead | BLENotify); // Remote clients can read and get updates
BLECharacteristic colorCharacteristic("936b6a25-e503-4f7c-9349-bcc76c22b8c3", // Custom Characteristics
BLERead | BLENotify, 24); // 1234,5678,
BLEDescriptor colorLabelDescriptor("2901", "16-bit ints: r, g, b, a");
void setup() {
Serial.begin(9600); // Initialize serial communication
// while (!Serial); // only when connected to laptop
if (!HTS.begin()) { // Initialize HTS221 sensor
Serial.println("Failed to initialize humidity temperature sensor!");
while (1);
if (!BARO.begin()) { // Initialize LPS22HB sensor
Serial.println("Failed to initialize pressure sensor!");
while (1);
// Avoid bad readings to start bug
if (!APDS.begin()) { // Initialize APDS9960 sensor
Serial.println("Failed to initialize color sensor!");
while (1);
pinMode(LED_BUILTIN, OUTPUT); // Initialize the built-in LED pin
if (!BLE.begin()) { // Initialize NINA B306 BLE
Serial.println("starting BLE failed!");
while (1);
BLE.setLocalName("ArduinoNano33BLESense"); // Set name for connection
BLE.setAdvertisedService(environmentService); // Advertise environment service
environmentService.addCharacteristic(tempCharacteristic); // Add temperature characteristic
environmentService.addCharacteristic(humidCharacteristic); // Add humidity characteristic
environmentService.addCharacteristic(pressureCharacteristic); // Add pressure characteristic
environmentService.addCharacteristic(colorCharacteristic); // Add color characteristic
colorCharacteristic.addDescriptor(colorLabelDescriptor); // Add color characteristic descriptor
BLE.addService(environmentService); // Add environment service
tempCharacteristic.setValue(0); // Set initial temperature value
humidCharacteristic.setValue(0); // Set initial humidity value
pressureCharacteristic.setValue(0); // Set initial pressure value
colorCharacteristic.setValue(""); // Set initial color value
BLE.advertise(); // Start advertising
Serial.print("Peripheral device MAC: ");
Serial.println("Waiting for connections…");
void loop() {
BLEDevice central = BLE.central(); // Wait for a BLE central to connect
// If central is connected to peripheral
if (central) {
Serial.print("Connected to central MAC: ");
Serial.println(central.address()); // Central's BT address:
digitalWrite(LED_BUILTIN, HIGH); // Turn on the LED to indicate the connection
while (central.connected()) {
long currentMillis = millis();
// After UPDATE_FREQUENCY ms have passed, check temperature & humidity
if (currentMillis – previousMillis >= UPDATE_FREQUENCY) {
previousMillis = currentMillis;
digitalWrite(LED_BUILTIN, LOW); // When the central disconnects, turn off the LED
Serial.print("Disconnected from central MAC: ");
int getTemperature(float calibration) {
// Get calibrated temperature as signed 16-bit int for BLE characteristic
return (int) (HTS.readTemperature() * 100) + (int) (calibration * 100);
unsigned int getHumidity() {
// Get humidity as unsigned 16-bit int for BLE characteristic
return (unsigned int) (HTS.readHumidity() * 100);
unsigned int getPressure() {
// Get humidity as unsigned 32-bit int for BLE characteristic
return (unsigned int) (BARO.readPressure() * 1000 * 10);
void getColor() {
// check if a color reading is available
while (!APDS.colorAvailable()) {
// Get color as (4) unsigned 16-bit ints
int tmp_r, tmp_g, tmp_b, tmp_a;
APDS.readColor(tmp_r, tmp_g, tmp_b, tmp_a);
r = tmp_r;
g = tmp_g;
b = tmp_b;
a = tmp_a;
void updateReadings() {
int temperature = getTemperature(CALIBRATION_FACTOR);
unsigned int humidity = getHumidity();
unsigned int pressure = getPressure();
if (temperature != previousTemperature) { // If reading has changed
Serial.print("Temperature: ");
tempCharacteristic.writeValue(temperature); // Update characteristic
previousTemperature = temperature; // Save value
if (humidity != previousHumidity) { // If reading has changed
Serial.print("Humidity: ");
previousHumidity = humidity;
if (pressure != previousPressure) { // If reading has changed
Serial.print("Pressure: ");
previousPressure = pressure;
// Get color reading everytime
// e.g. "12345,45678,89012,23456"
String stringColor = "";
stringColor += r;
stringColor += ",";
stringColor += g;
stringColor += ",";
stringColor += b;
stringColor += ",";
stringColor += a;
if (stringColor != previousColor) { // If reading has changed
byte bytes[stringColor.length() + 1];
stringColor.getBytes(bytes, stringColor.length() + 1);
Serial.print("r, g, b, a: ");
colorCharacteristic.writeValue(bytes, sizeof(bytes));
previousColor = stringColor;

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Previewing and Debugging BLE Device Services

Before looking at the code running on the Raspberry Pi, we can use any number of mobile applications to preview and debug the Environmental Sensing service running on the Arduino and being advertised over BLE. A commonly recommended application is Nordic Semiconductor’s nRF Connect for Mobile, available on Google Play. I have found the Android version works better at correctly interpreting and displaying GATT Characteristic values than the iOS version of the app.

Below, we see a scan of my local vicinity for BLE devices being advertised, using the Android version of the nRF Connect mobile application. Note the BLE device, ArduinoNano33BLESense (indicated in red). Also, note the media access control address (MAC address) of that BLE device, in my case, d1:aa:89:0c:ee:82. The MAC address will be required later on the IoT Gateway.


Connecting to the device, we see three Services. The Environmental Sensing Service (indicated in red) contains the sensor readings.


Drilling down into the Environmental Sensing Service (0x181A), we see the four expected Characteristics: Temperature (0x2A6E), Humidity (0x2A6F), Pressure (0x2A6D), and Unknown Characteristic (936b6a25-e503-4f7c-9349-bcc76c22b8c3). Since nRF Connect cannot recognize the color sensor reading as a registered GATT Characteristic (no GATT Assigned Number), it is displayed as an Unknown Characteristic. Whereas the temperature, humidity, and pressure values (indicated in red) are interpreted and displayed correctly, the color sensor reading is left as raw hexadecimal text (e.g., 30-2c-30-2c-30-2c-30-00 or 0,0,0,0).


These results indicate everything is working as expected.

BLE Client Python Code

To act as the BLE Client (aka central device), the Raspberry Pi runs a Python script. The script,, uses the bluepy Python module for interfacing with BLE devices through Bluez, on Linux.

import sys
import time
from argparse import ArgumentParser
from bluepy import btle # linux only (no mac)
from colr import color as colr
# BLE IoT Sensor Demo
# Author: Gary Stafford
# Reference:
# Requirements: python3 -m pip install –user -r requirements.txt
# To Run: python3 ./ d1:aa:89:0c:ee:82 <- MAC address – change me!
def main():
# get args
args = get_args()
nano_sense = btle.Peripheral(args.mac_address)
print("Discovering Services…")
_ =
environmental_sensing_service = nano_sense.getServiceByUUID("181A")
print("Discovering Characteristics…")
_ = environmental_sensing_service.getCharacteristics()
while True:
# time.sleep(2) # transmission frequency set on IoT device
def byte_array_to_int(value):
# Raw data is hexstring of int values, as a series of bytes, in little endian byte order
# values are converted from bytes -> bytearray -> int
# e.g., b'\xb8\x08\x00\x00' -> bytearray(b'\xb8\x08\x00\x00') -> 2232
# print(f"{sys._getframe().f_code.co_name}: {value}")
value = bytearray(value)
value = int.from_bytes(value, byteorder="little")
return value
def split_color_str_to_array(value):
# e.g., b'2660,2059,1787,4097\x00' -> 2660,2059,1787,4097 ->
# [2660, 2059, 1787, 4097] -> 166.0,128.0,111.0,255.0
# print(f"{sys._getframe().f_code.co_name}: {value}")
# remove extra bit on end ('\x00')
value = value[0:1]
# split r, g, b, a values into array of 16-bit ints
values = list(map(int, value.split(",")))
# convert from 16-bit ints (2^16 or 0-65535) to 8-bit ints (2^8 or 0-255)
# values[:] = [int(v) % 256 for v in values]
# actual sensor is reading values are from 0 – 4097
print(f"12-bit Color values (r,g,b,a): {values}")
values[:] = [round(int(v) / (4097 / 255), 0) for v in values]
return values
def byte_array_to_char(value):
# e.g., b'2660,2058,1787,4097\x00' -> 2659,2058,1785,4097
value = value.decode("utf-8")
return value
def decimal_exponent_two(value):
# e.g., 2350 -> 23.5
return value / 100
def decimal_exponent_one(value):
# e.g., 988343 -> 98834.3
return value / 10
def pascals_to_kilopascals(value):
# 1 Kilopascal (kPa) is equal to 1000 pascals (Pa)
# to convert kPa to pascal, multiply the kPa value by 1000
# 98834.3 -> 98.8343
return value / 1000
def celsius_to_fahrenheit(value):
return (value * 1.8) + 32
def read_color(service):
color_char = service.getCharacteristics("936b6a25-e503-4f7c-9349-bcc76c22b8c3")[0]
color =
color = byte_array_to_char(color)
color = split_color_str_to_array(color)
print(f" 8-bit Color values (r,g,b,a): {color[0]},{color[1]},{color[2]},{color[3]}")
print("RGB Color")
print(colr('\t\t', fore=(127, 127, 127), back=(color[0], color[1], color[2])))
print("Light Intensity")
print(colr('\t\t', fore=(127, 127, 127), back=(color[3], color[3], color[3])))
def read_pressure(service):
pressure_char = service.getCharacteristics("2A6D")[0]
pressure =
pressure = byte_array_to_int(pressure)
pressure = decimal_exponent_one(pressure)
pressure = pascals_to_kilopascals(pressure)
print(f"Barometric Pressure: {round(pressure, 2)} kPa")
def read_humidity(service):
humidity_char = service.getCharacteristics("2A6F")[0]
humidity =
humidity = byte_array_to_int(humidity)
humidity = decimal_exponent_two(humidity)
print(f"Humidity: {round(humidity, 2)}%")
def read_temperature(service):
temperature_char = service.getCharacteristics("2A6E")[0]
temperature =
temperature = byte_array_to_int(temperature)
temperature = decimal_exponent_two(temperature)
temperature = celsius_to_fahrenheit(temperature)
print(f"Temperature: {round(temperature, 2)}°F")
def get_args():
arg_parser = ArgumentParser(description="BLE IoT Sensor Demo")
arg_parser.add_argument('mac_address', help="MAC address of device to connect")
args = arg_parser.parse_args()
return args
if __name__ == "__main__":

python3 ./ d1:aa:89:0c:ee:82

Unlike the nRF Connect app, the bluepy Python module is not capable of correctly interpreting and displaying the GATT Characteristic values. Hence, the script takes the raw, incoming hexadecimal text from the Arduino and coerces it to the correct values. For example, a temperature reading must be transformed from bytes, b'\xb8\x08\x00\x00', to a byte array, bytearray(b'\xb8\x08\x00\x00'), then to an integer, 2232, then to a decimal, 22.32, and finally to the Fahrenheit scale, 72.18°F.

Sensor readings are retrieved from the BLE device every two seconds. In addition to displaying the numeric sensor readings, the Python script also displays a color swatch of the 8-bit RGB color, as well as a grayscale swatch representing the light intensity using the colr Python module.


The following screen recording shows a parallel view of both the Arduino Serial Monitor and the Raspberry Pi’s terminal output. The Raspberry Pi (central device) connects to the Arduino (peripheral device) when the Python script is started. The Raspberry Pi successfully reads and interprets the telemetry data from the Environmental Sensing Service.


In this post, we explored the use of BLE and the GATT specification to transmit environmental sensor data from a peripheral device to a central device. Given its low energy consumption and well-developed profiles, such as GATT, Bluetooth Low Energy (BLE) is an ideal short-range wireless protocol for IoT devices.

This blog represents my own viewpoints and not of my employer, Amazon Web Services.

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