Network of Things Engineering (NoTE) Lab

Description

This book provides a hands-on experience in software and hardware engineering of IoT devices in edge and cloud computing systems, by putting in practice state-of-the-art concepts of hardware devices, networking and computing software. It proposes a Network of Things Engineering (NoTE) Lab, with seven hands-on lab modules covering topics ranging from “Interfacing sensors and actuators” and “Connecting IoT and Edge with MQTT" to “Data pipelining in cloud computing”. All tools and software used in the NoTE Lab are free and open source, and available to the readers. Specifically, Arduino-based boards that support a variety of low-cost sensors and actuators are used in IoT context. In edge computing, NoTE Lab implements off-the-shelf single board computers, Raspberry Pis with corresponding software and hardware. For cloud, well-known and widely used cloud computing open-source tools (e.g., Kubernetes) are deployed, where readers can learn the basics of monitoring and managing containers in cloud computing. Three communication protocols are used in the end-to-end setup, including MQTT, AMQP and HTTP. This lab book is a "must experiment with" for anybody in academia and industry participating in the fascinating IoT-edge-cloud continuum development.  Preface Target Audience What NoTE Lab Does Not Offer Choosing Hardware and Software Solutions Devices and Configuration Overview of the Lab Modules Structuring Individual Labs Grading Free and Open Source Acknowledgements About this Book Contents About the Authors List of Figures List of Tables 1 Introduction 1.1 Hardware Setup 1.2 Communication Protocols 1.3 On Software Tools and Libraries 1.4 Lab Structure and Learning Objectives 2 NoteLab Setup Requirements 2.1 Hardware Requirements 2.1.1 Sensors 2.1.2 Actuators and Auxiliary Components 2.1.3 Auxiliary Components 2.1.4 Single Board Microcontrollers 2.1.5 Single Board Computers 2.1.6 Server 2.1.7 Workstation 2.1.8 WiFi Router 2.2 Software Requirements 2.2.1 Arduino Uno WiFi 2.2.2 Raspberry Pis 2.2.3 Server 2.2.4 Workstation References 3 Lab 0—Getting Started 3.1 Prerequisites 3.2 Setup 3.3 Part 1: On the Workstation 3.3.1 Task 1: Getting Started with Linux Command Line Interface (CLI) 3.3.2 Task 2: Wireless Router Configuration 3.3.3 Task 3: Remote Access Using SSH 3.4 Part 2: Introduction to Arduino Programing 3.4.1 Task 4: First Arduino Sketch 3.4.2 Task 5: Connect Arduino to the WLAN 3.5 Part 3: Getting Started with Raspberry Pi 3.5.1 Task 6: The First Python Script 3.5.2 Task 7: First Steps with Docker 3.6 Part 4: On the Server 3.6.1 Task 8: Getting Started with Kubernetes References 4 Lab 1—Interfacing Sensors and Actuators 4.1 Prerequisites 4.2 Setup 4.3 Part 1: Actuating an External LED 4.3.1 Task 1: Connecting External LED 4.3.2 Task 2: Making LED Blink 4.4 Part 2: Actuating an LCD Display 4.4.1 Task 3: Connecting LCD Display 4.4.2 Task 4: Printing Messages on LCD Display 4.5 Part 3: Temperature/Humidity Sensor 4.5.1 Task 5: Connecting DHT11 Sensor 4.5.2 Task 6: Reading Temperature and Humidity 4.6 Part 4: Ultrasonic Distance Sensor 4.6.1 Task 7: Connecting HC-SR04 Sensor 4.6.2 Task 8: Calculating Distance 4.7 Part 5: Motion Sensor 4.7.1 Task 9: Connecting HC-SR501 Sensor 4.7.2 Task 10: Detecting Motion References 5 Lab 2—Connecting IoT and Edge with MQTT 5.1 Prerequisites 5.2 Setup 5.3 Part 1: Deploying and Testing an MQTT Broker 5.3.1 Task 1: Running Mosquitto 5.4 Part 2: Implementing an MQTT Client in Arduino 5.4.1 Task 2: Implementing an MQTT Client 5.5 Part 3: Sensing and Actuating over MQTT 5.5.1 Task 3: Sending DHT11 Sensor Data over MQTT 5.5.2 Task 4: Activating an External LED and LCD Display over MQTT References 6 Lab 3—Connecting Edge and Cloud Tools with AMQP 6.1 Prerequisites 6.2 Setup 6.3 Part 1: Deploy and Test RabbitMQ 6.3.1 Task 1: Deploying RabbitMQ 6.3.2 Task 2: Testing RabbitMQ 6.4 Part 2: Implementing an AMQP Client in Python 6.4.1 Task 3: Implementing an AMQP Client References 7 Lab 4—Connecting Edge and Cloud Tools with REST HTTP 7.1 Prerequisites 7.2 Setup 7.3 Part 1: Deploy and Test Elasticsearch 7.3.1 Task 1: Deploying Elasticsearch 7.3.2 Task 2: Testing Elasticsearch 7.4 Part 2: Implementing an HTTP Client in Python 7.4.1 Task 3: Implementing an HTTP Client References 8 Lab 5—Prototyping Data Connectors 8.1 Prerequisites 8.2 Setup 8.3 Part 1: Implementing MQTT Client in Python 8.3.1 Task 1: Implementing an MQTT Client 8.4 Part 2: Data Connector—MQTT and AMQP 8.4.1 Task 2: Prototyping the Sensor Controller 8.5 Part 3: Data Connector—HTTP, AMQP and MQTT 8.5.1 Task 3: Prototyping the Actuator Controller 8.6 Part 4: Data Connector—AMQP and HTTP 8.6.1 Task 4: Deploying and Testing Logstash References 9 Lab 6—Integrating Sensors and Actuators with Edge and Cloud Tools 9.1 Prerequisites 9.2 Setup 9.3 Part 1: Sending Data from Sensors to Edge and Cloud Tools 9.3.1 Task 1: Implementing and Testing the Sensor Controller 9.4 Part 2: Triggering Actuators from Cloud and Edge Tools 9.4.1 Task 2: Implementing and Testing the Actuator Controller References 10 Lab 7—Network-of-Things Final Setup 10.1 Prerequisites 10.2 Setup 10.3 Part 1: Integrating Different Sensors and Actuators 10.3.1 Task 1: Integrating all Sensors 10.3.2 Task 2: Integrating all Actuators 10.4 Part 2: Final Setup—Integrating IoT, Edge to Cloud 10.4.1 Task 3: Testing and Benchmarking References Appendix A Troubleshooting: Arduino Uno A.1 Connecting Arduinos to Workstation A.2 Set Serial Port Permission A.3 Alternative Arduino IDE Installation Method A.4 Alternative Libraries Installation Method for Arduino IDE Appendix B Troubleshooting: Raspberry Pi B.1 Setting Up Ubuntu and Clock Synchronization B.2 Enable SSH Service B.3 Docker Timeout Error B.4 Alternative Python Packages Installation Method Appendix C Troubleshooting: Server C.1 Fixing k3s Permissions C.2 Uninstalling k3s C.3 Alternative Helm Installation Method C.4 Alternative K3s Installation Method C.5 Alternative Hello-World Installation Method C.6 Alternative RabbitMQ Installation Method C.7 Alternative Elasticsearch Installation Method C.8 Alternative Logstash Installation Method