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Ready-to-use devices and self-built Arduino nodes in the 'The Things Network' LoRaWAN has developed excellently as a communication solution in the IoT. The Things Network (TTN) has contributed to this. The Things Network was upgraded to The Things Stack Community Edition (TTS (CE)). The TTN V2 clusters were closed towards the end of 2021. This book shows you the necessary steps to operate LoRaWAN nodes using TTS (CE) and maybe extend the network of gateways with an own gateway. Meanwhile, there are even LoRaWAN gateways suitable for mobile use with which you can connect to the TTN server via your cell phone. The author presents several commercial LoRaWAN nodes and new, low-cost and battery-powered hardware for building autonomous LoRaWAN nodes. Registering LoRaWAN nodes and gateways in the TTS (CE), providing the collected data via MQTT and visualization via Node-RED, Cayenne, Thingspeak, and Datacake enable complex IoT projects and completely new applications at very low cost. This book will enable you to provide and visualize data collected with battery-powered sensors (LoRaWAN nodes) wirelessly on the Internet. You will learn the basics for smart city and IoT applications that enable, for example, the measurement of air quality, water levels, snow depths, the determination of free parking spaces (smart parking), and the intelligent control of street lighting (smart lighting), among others.

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LoRaWAN, Sigfox, NB-IoT & LTE-M Compared The Internet of Things depends on a critical question. How do you connect devices that must operate for years on tiny batteries, often miles from the nearest power outlet? This Elektor Technical Brief provides a practical guide to the technologies that have become the backbone of long-range, low-power IoT connectivity. Compiled by the Elektor Content Team, this concise technical brief examines the real engineering tradeoffs behind today’s leading Low-Power Wide-Area Network (LPWAN) technologies: LoRaWAN, Sigfox, NB-IoT, and LTE-M. By referencing a wide range of Elektor articles and other online content, this document explains why link budget, noise, bandwidth, and power consumption ultimately determine system performance. From there, it explores the architectures, strengths, limitations, and deployment realities of each major LPWAN technology, helping you understand not just how they work, but when and why to use them. Whether you’re designing smart meters, industrial sensors, agricultural monitoring systems, asset trackers, or connected infrastructure, this guide provides the insights needed to make informed connectivity decisions. Along the way, you’ll discover: Why LPWAN technologies emerged and where they fit in the IoT landscape The RF fundamentals that drive range, reliability, and battery life Details about LoRaWAN, Sigfox, NB-IoT, and LTE-M Practical comparisons of power, coverage, latency, cost, and deployment models Guidance for selecting the right LPWAN technology for your application Emerging trends shaping the future of long-range IoT connectivity Clear, accessible, and grounded in real engineering practice, this Technical Brief helps you move beyond specifications and marketing claims to understand what matters most. If you’re building connected products that need to survive in the field — not just in the lab — this is the LPWAN guide you’ll want at your side. Elektor helped launch the first wave of electronics makers in 1961. Since then, our global community has grown by hundreds of thousands of active members (comprising professional engineers, makers, and students) and more than 500 contributing experts. Every day, we inspire members to design and earn money with electronics.

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This bundle gives you everything you need to get started right away with the XIAO ESP32-C3 development board. Learn the fundamentals of the ESP32-C3 and build practical projects with Wi-Fi, Bluetooth, sensors, displays, PWM, Deep Sleep, and much more. Book: Build Smart Projects with the XIAO ESP32-C3 Board The XIAO ESP32-C3 board combines the ultra-compact form factor of the XIAO series with the full capabilities of the ESP32-C3 chip, including integrated Wi-Fi and Bluetooth 5.0. This book is a comprehensive, hands-on guide to getting the most out of this powerful yet affordable development board. The author takes readers from the fundamentals to advanced projects. Starting with LED blinking and dimming, the book progresses to ADC and PWM for precise sensor interfacing and PWM-controlled lighting effects before moving on to building practical, real-world applications, including: A Wi-Fi weather station with an OLED display and real-time online weather data An ultrasonic parking assistant with audible feedback A refrigerator monitoring probe with climate sensing and Deep Sleep for years of battery operation A retro Pong game controlled by a touch-free sensor A microphone-based party app that responds to claps And much more: lighting control, reaction-time measurement, mains frequency analysis, soil moisture sensing, ambient LED lighting, and 7-segment displays Seeed Studio XIAO ESP32C3 Seeed Studio XIAO ESP32C3 has equipped a highly-integrated ESP32-C3 chip, built around a 32-bit RISC-V chip processor with a four-stage pipeline that operates at up to 160 MHz. The board equips highly-integrated ESP32-C3 SoC. The chip has been installed with a complete 2.4 GHz Wi-Fi subsystem which means it supports Station mode, SoftAP mode, SoftAP & Station mode, and promiscuous mode for multiple Wi-Fi applications. It works under an ultra-low power state, also supporting features of Bluetooth 5 and Bluetooth mesh. There are 400 KB SRAM & 4 MB Flash on the chip, allowing for more programming space, and bringing more possibilities to the IoT control scenarios. Applications Internet of Things Wearable devices Health monitoring Education Low-Power networking Rapid prototyping Specifications Processor ESP32-C3 SoC RISC-V single-core 32-bit chip processor with a four-stage pipeline that operates at up to 160 MHz Wireless Complete 2.4GHz Wi-Fi subsystem Bluetooth Low Energy 5.0/ Bluetooth Mesh On-chip Memory 400 KB SRAM & 4 MB Flash Interface 1x UART, 1x I²C, 1x SPI, 11x GPIO (PWM), 4x ADC 1x Reset button, 1x Boot button Power (Typ.) Max 3.3 V Output Current: 500 mA Test Condition: BAT Pin Input @ 3.8 V Source Capability: 3 A Charging current: 380 mA(Fast) / 40 mA(Trickle) Input voltage (VIN): 5 VInput voltage (BAT): 3.7 V Deep Sleep Power Consumption Deep Sleep Mode: 44 μA Wi-Fi Enabled Power Consumption Active Mode: 75 mA Modem-sleep Mode: 25 mA Light-sleep Mode: 4 mA BLE Enabled Power Consumption Modem-sleep Mode: 27 mA Light-sleep Mode: 10 mA Dimensions 21 x 17.8 mm Included 1x Seeed Studio XIAO ESP32C3 1x Antenna 2x 7-pin header Downloads Wiki Datasheet This bundle contains: Book: Build Smart Projects with the XIAO ESP32-C3 Board (normal price: €35) Board: Seeed Studio XIAO ESP32C3 (normal price: €10)

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High-Performance LoRa Communication Device The Elecrow ThinkNode M5 is a compact, portable LoRa communication device designed for off-grid messaging, location sharing, and outdoor use. Powered by an ESP32-S3 processor and an SX1262 LoRa chip, it comes pre-installed with Meshtastic firmware and can be configured conveniently via Bluetooth using the official Meshtastic app. The integrated multi-GNSS module supports GPS, GLONASS, BeiDou, and QZSS for reliable positioning and location sharing. Messages and device information are displayed on the energy-efficient 1.54-inch e-paper screen, while the built-in 1,200 mAh rechargeable battery enables extended mobile operation. With its integrated LoRa antenna, compact housing, RTC, and support for both Meshtastic and MeshCore firmware, the ThinkNode M5 is a practical communication solution for hiking, camping, remote locations, and emergency situations where conventional mobile networks are unavailable. Features LoRa communication Multi-GNSS positioning 1,200 mAh rechargeable battery 1.54-inch e-paper display Built-in RTC Compatible with MeshCore Compatible with Meshtastic Specifications Main Processor (ESP32-S3) CPU/SoC Xtensa 32-bit LX7 dual-core processor, clocked at up to 240 MHz System Memory 512 KB SRAM, 8 MB PSRAM Storage 4 MB Flash, 384 KB ROM Firmware Meshtastic firmware is fully compatible, and the signal is transmitted in LoRa mode EPD (Electronic Paper Display) Display Size 1.54 inch EPD (monochrome Ink screen) Display Materials E-lnk (Electronic Ink） Resolution 200 x 200 Driver Chip SSD1681 (via SPI or I²C interface) Global Fresh Time 2s Wireless Communication Bluetooth Bluetooth Low Energy and Bluetooth 5.0 (phone configuration) LoRa SX1262 LoRa Module, EU 868 MHz（external antenna） Hardware Interfaces USB-C, RP-SMA Function GPS Location (GPS, GLONASS, BeiDou, QZSS), EPD Display, RTC, USB 2.0, PMU power management (built-in 1200 mAh lithium battery), buzzer, etc. Button Knob Switch, Function Button, Page Turn Button, GPS Switch, Reset Button LED Indicator Power supply, GPS/LoRa indication Others Power Input 5 V/1 A, supports USB or lithium battery power supply Power consumption The maximum working current is about 340 mA (CPU + LoRa module), and the low power consumption is about 34 uA Operating Temperature -10~50°C Storage Temperature -20~60°C Relative humidity 10-95%, @ 40°C (non-condensing) Enclosure ABS Plastic Dimensions 82 x 51.6 x 26.3 mm Weight 81 g Included 1x Elecrow ThinkNode M5 1x LoRa antenna 1x USB-C cable 1x Manual Downloads Manual

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Learn how to use the ESP32 Microcontroller and MicroPython programming in your future projects! The project book, written by well-known Elektor author Dogan Ibrahim, holds many software- and hardware-based projects especially developed for the MakePython ESP32 Development Kit. The kit comes with several LEDs, sensors, and actuators. The kit will help you acquire the basic knowledge to create IoT projects. The book’s fully evaluated projects feature all the supplied components. Each project includes a block diagram, a circuit diagram, a full program listing, and a complete program description. Included in the kit 1x MakePython ESP32 development board with LCD 1x Ultrasonic ranging module 1x Temperature and humidity sensor 1x Buzzer module 1x DS18B20 module 1x Infrared module 1x Potentiometer 1x WS2812 module 1x Sound sensor 1x Vibration sensor 1x Photosensitive resistance module 1x Pulse sensor 1x Servo motor 1x USB cable 2x Button 2x Breadboard 45x Jumper wire 10x Resistor 330R 10x LED (Red) 10x LED (Green) 1x Project book (206 pages) 46 Projects in the Book LED Projects Blinking LED Flashing SOS Blinking LED – using a timer Alternately flashing LEDs Button control Changing the LED flashing rate using pushbutton interrupts Chasing-LEDs Binary-counting LEDs Christmas lights (random-flashing 8 LEDs) Electronic dice Lucky day of the week Pulsewidth Modulation (PWM) Projects Generate a 1000-Hz PWM waveform with 50% duty cycle LED brightness control Measuring the frequency and duty cycle of a PWM waveform Melody maker Simple electronic organ Servo motor control Servo motor DS18B20 thermometer Analog To Digital Converter (ADC) Projects Voltmeter Plotting the analog input voltage ESP32 internal temperature sensor Ohmmeter Photosensitive resistance module Digital To Analog Converter (DAC) Projects Generating fixed voltages Generating a sawtooth-wave signal Generating a triangular-wave signal Arbitrary periodic waveform Generating a sinewave signal Generating accurate sinewave signal using timer interrupts Using The OLED Display Seconds counter Event counter DS18B20 OLED based digital thermometer ON-OFF temperature controller Measuring the temperature and humidity Ultrasonic distance measurement Height of a person (stadiometer) Heart rate (pulse) measurement Other Sensors Supplied with the Kit Theft alarm Sound-activated light Infrared obstacle avoidance with buzzer WS2812 RGB LED ring Timestamping temperature and humidity readings Network Programming Wi-Fi scanner Remote control from the Internet browser (using a smartphone or PC) – Web Server Storing temperature and humidity data in the Cloud Low-Power Operation Using a timer to wake up the processor

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All-in-One AI Learning and Development Platform for Edge Intelligence This NVIDIA Jetson-based AI Starter Kit is a versatile platform for learning, development, and hands-on experimentation in Edge AI. Designed for use with the NVIDIA Jetson Orin Nano, the kit combines an 11.6-inch IPS display, an 8-megapixel pan-tilt camera, and an AI voice interaction system. It includes 30 functional modules and 38 carefully designed Python courses that progress from beginner to advanced level. The course content covers Python fundamentals, sensor technology, AI vision, and image recognition. With step-by-step practical exercises ranging from basic programming to real-world computer vision applications, this kit provides an ideal platform for students, makers, developers, and anyone looking to explore artificial intelligence and edge computing. Please note: The NVIDIA Jetson Orin Nano is not included. Features Designed for the NVIDIA Jetson Orin Nano AI voice interaction module 8 MP camera with pan-tilt control Supports object and face tracking No soldering or complex wiring required Built-in 11.6-inch IPS display 30 functional modules 38 step-by-step Python lessons I²C, UART, and GPIO expansion interfaces Portable carrying case included Specifications Main Processor Jetson Orin Nano Number of Sensors 30 Sensor Board Design Integrated sensor board, no soldering or complex wiring required Screen 11.6-inch IPS Screen Screen Resolution 1366 x 768 Camera IMX219 8MP Expansion Interfaces 2x I²C, 1x UART, 1x IO D13, 1xIO D12 Programming Environment Based on Python Number of Tutorials 38 creative tutorials Target Audience Students, teachers, hardware enthusiasts Application Scenarios Ideal for learning AI programming, Jetson Orin Nano basics Dimensions 300 x 200 x 100 mm Module List Module Quantity Temperature & Humidity Sensor 1 pcs Button 4 pcs Ultrasonic Ranging Sensor 1 pcs Light Sensor 1 pcs Linear Potentiometer 1 pcs Buzzer 1 pcs LCD 1 pcs Infrared Remote 1 pcs Relay 1 pcs NFC 1 pcs PIR Motion Sensor 1 pcs Joystick 1 pcs 4-Digital Display 1 pcs LED 1 pcs Microphone 1 pcs Speaker 1 pair Vibration Motor 1 pcs Touch Sensor 1 pcs 8x8 RGB Matrix 1 pcs Atmospheric pressure sensor 1 pcs Tilt Switch 1 pcs Stepper Motor 1 pcs Accelerometer & Gyro 1 pcs Gas Sensor (MQ2) 1 pcs Hall Sensor 1 pcs Rotary Encoder 1 pcs U-shaped photoelectric switch 1 pcs NTC 1 pcs Servo 2 pcs Monocular camera 1 pcs Included 1x Elecrow AI Starter Kit for Jetson Orin Nano 1x IR Remote Control 1x NFC Card 1x 128 GB SD Card 1x 40-pin GPIO Cable 2x 22-pin FPC Cable 2x 24-pin FPC Cable 1x Jetson DP & USB Adapter Board Not included NVIDIA Jetson Orin Nano Downloads Manual Wiki OpenClaw Install and Config Guide

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Design IoT Projects with Raspberry Pi, Arduino and ESP32 The Internet of Things (IoT) is becoming a major application area for embedded systems. As a result, more and more people are becoming interested in learning about embedded design and programming. Technical colleges and universities are moving away from legacy 8 and 16-bit microcontrollers and are introducing 32-bit embedded microcontrollers to their curriculums. Many IoT applications demand precision, high processing power, and low power consumption. Produced by IBM, Node-RED is an open-source visual editor for wiring the Internet of Things. Node-RED comes with a large number of nodes to handle a multitude of tasks. The required nodes are selected and joined together to perform a particular task. Node-RED is based on flow type programming where nodes are configured and joined together to form an application program. There are nodes for performing complex tasks, including web access, Twitter, E-mail, HTTP, Bluetooth, MQTT, controlling GPIO ports, etc. One particularly nice aspect of Node-RED is that the programmer does not need to learn how to write complex programs. For example, an email can be sent by simply joining nodes together and writing only a few lines of code. The aim of this book is to teach how Node-RED can be used in projects. The main hardware platform used with most of the projects in this book is Raspberry Pi 4. Chapters are included to show how Node-RED can be also be used with Arduino Uno, ESP32 DevKitC, and the ESP8266 NodeMCU microcontroller development boards.

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Your First Steps with an ESP32-C3 and the IoTA Wi-Fi Button and Relay IoT Cloud a la Arduino Dual Geiger-Müller Tube Arduino ShieldA High Sensitivity, Very Low-Power Radiation Sensor CO2 GuardA DIY Approach to Monitoring Air Quality MonkMakes Air Quality Kit for Raspberry PiMeasures Temperature and eCO2 Starting Out in ElectronicsWelcome to the Diode Tips & Tricks for Testing ComponentsNo Expensive Equipment Required Reducing the Power Consumption of Your Mole RepellerAn ATtiny13 Replaces a 555 Light Switch DeLuxA Solution for High-Precision Light-Controlled Switching The Challenges in Bringing IoT Solutions to MarketWorries Around Security, Scalability, and Competition Infographics 5-6/2022 Preferably Wired After AllTips for Developing a 1 Gbit/s Interface in an Industrial Environment Bringing Real-Time Object Detection to MCUs with Edge Impulse FOMO Traveling-Wave TubesPeculiar Parts, the Series Narrowband Internet of ThingsStandards, Coverage, Agreements, and Modules Dragino LPS8 Indoor GatewaySpeedy LoRaWAN Gateway Setup Explore ATtiny Microcontrollers Using C and Assembly LanguageSample Chapter: ATtiny I/O Ports Err-lectronicsCorrections, Updates and Readers’ Letters LoRa GPS Tracker UpdateReceive and Show Location Using a Raspberry Pi Circuit Simulation with TINA Design Suite & TINACloudSample Chapter: Sinusoidal Oscillators From Life’s ExperienceAssembly Line Work The WinUI Graphics Framework for Windows AppsA Small Demo Application GUIs with PythonWorst GUI of the world Off-Grid Solar SystemsElectrical Energy Independent of the Mains Grid The 10-Year SmartphoneRenew Your Expectations HexadokuThe Original Elektorized Sudoku

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This bundle includes the Arduino UNO Q (2 GB) and the book "Arduino UNO Q and AI". The Arduino UNO Q is the first UNO board with a hybrid dual-brain architecture, combining a powerful Linux processor with a real-time microcontroller – bringing advanced computing and precise control together on one board. Powered by a Qualcomm Dragonwing QRB2210 MPU running Debian Linux and a STM32U585 MCU for real-time tasks, the UNO Q is built for next-generation applications. From Edge Computing and AI to robotics and automation, it delivers high performance without sacrificing ease of use. Simply connect your peripherals and get started – no extra hardware required. Features Dual-core architecture: Linux MPU + real-time MCU Qualcomm Dragonwing QRB2210 with Debian Linux support STM32U585 microcontroller for deterministic control Runs Arduino sketches via Zephyr OS Ideal for AI, IoT, robotics, and industrial projects Specifications Microprocessor (MPU) Qualcomm Dragonwing QRB2210:Quad-core Arm Cortex-A53 @ 2.0 GHzAdreno GPU 3D graphics accelerator2× ISP (13 MP + 13 MP or 25 MP) @ 30 fps Microcontroller (MCU) STM32U585Arm Cortex-M33 up to 160 MHz2 MB flash memory786 KB SRAM RAM 2 GB LPDDR4 Power Supply From USB-C connector 5 V max at 3 AInput Voltage (VIN): 7-24 V Storage 16 GB eMMC USB 1× USB-C port with host/device role switching, power role switch and video output Connectivity Wi-Fi 5 (2.4/5 GHz) with onboard antennaBluetooth 5.1 with onboard antenna Interfaces I²C/I³CSPIPWMCANUARTPSSIGPIOJTAGADC Video Video output support via USB-CMIPI DSI pins on JMEDIA header Extra 4× RGB user-controllable LEDs8×13 Blue LED Matrix1× Qwiic connector voltage 3V3, I²C1× User push-buttonJCTL: MPU Remote Debug connector Audio Microphone IN / Headphone OUT / Line OUT on JMISC MPU Operating System Linux Debian OS with upstream support Real-time Operating System Arduino Core on Zephyr OS Containerization Docker and Docker Compose support Support Operating Systems for Arduino App Lab Windows: Windows 10 or later (64-bit)macOS: macOS 11 or later (64-bit)Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit) Dimensions 68.85 × 53.34 mm (UNO form factor) Downloads Datasheet User Manual Pinout Schematics Book: Arduino UNO Q and AI – Learn to Build Intelligent Embedded Systems Build smarter embedded systems with Arduino UNO Q. This book gives you the tools, knowledge, and confidence to turn ideas into intelligent, working solutions using the Arduino UNO Q platform. Discover how to build intelligent embedded systems with the Arduino UNO Q and AI. Unlock the full potential of the Arduino UNO Q, a next-generation platform that combines the real-time power of the STM32U585 microcontroller with the flexibility of a Qualcomm Dragonwing QRB2210 microprocessor. Learn how to rapidly prototype real-world applications using the Arduino IDE for low-level embedded control and Python in Arduino App Lab for high-level development. Build confidence through hands-on projects that guide you step by step from basic board features to complete working systems. Explore ready-to-use, AI based Arduino App Lab examples and see how they can jump-start your development and reduce time to deployment. Step into the world of Edge AI with a clear, practical introduction to Edge Impulse Studio—no prior AI experience required. Follow a complete, real-world workflow to create a Keyword Spotting AI application, covering data collection, model training, optimization, and on-device inference using the Edge Impulse Studio. Bridge the gap between embedded systems and machine learning and learn how to bring intelligence directly onto your hardware. Perfect for embedded engineers, educators, students, and makers looking to stay ahead in AI-enabled product development. This bundle contains: Arduino UNO Q (2 GB) (normal price: €50) Book: Arduino UNO Q and AI (normal price: €35)

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