Beginning Lora Radio Networks With Arduino
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Beginning LoRa Radio Networks with Arduino
LoRa and LoRaWAN permit inexpensive, long-range connectivity for Internet of Things (IoT) devices in rural, remote and offshore industries. With LoRa wireless and LoRaWAN, you can build wide array of applications in the area of smart agriculture, smart cities, smart environment, smart healthcare, smart homes & buildings, smart industrial control, smart metering, smart supply chain & logistics, and many more. Learn the basics of LoRa wireless and LoRaWAN. Build LoRa end devices and gateways with LoRa radio transceiver modules, Arduino and Raspberry Pi. Start your journey by building a simple peer-to-peer communication channel with two LoRa end devices. Next, build a simple single channel LoRa gateway with Raspberry Pi and forward uplink data to The Things Network. Also, write simple JavaScript functions to decode payloads to extract sensor data. Then, use RESTful API and MQTT protocol to send data to the ThingSpeak IoT platform. Finally, as a unique and useful project, build a real-time GPS tracker with The Things Network, IFTTT Maker Channel, IFTTT Webhooks, and Traccar.
Beginning LoRa Radio Networks with Arduino
Create your own LoRa wireless projects for non-industrial use and gain a strong basic understanding of the LoRa technology, LoRa WAN, and LPWAN. You'll start by building your first LoRa wireless channel and then move on to various interesting projects such as setting up networks with a LoRa gateway, communicating with IoT servers using RESTful API and MQTT protocol, and real-time GPS tracking. With LoRa wireless and LoRaWAN, you can build a wide array of applications in the area of smart agriculture, smart cities, smart environment, smart healthcare, smart homes and buildings, smart industrial control, smart metering, smart supply chain and logistics. Beginning LoRa Radio Networks with Arduino provides a practical introduction and uses affordable and easy to obtain hardware to build projects with the Arduino development environment. What You’ll Learn Understand the hardware need to build LoRaWAN Use the Arduino development environment to write code Connect to Arduino hardware and upload programs and communicate with them Setup networks with LoRa gateway Show real time track with tail, and path history Who This Book Is For Inventors, hackers, crafters, students, hobbyists, and scientists
Web, Artificial Intelligence and Network Applications
This proceedings book presents the latest research findings, and theoretical and practical perspectives on innovative methods and development techniques related to the emerging areas of Web computing, intelligent systems and Internet computing. The Web has become an important source of information, and techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play a key role in many of today's major Web applications, such as e-commerce and computer security. Moreover, Web services provide a new platform for enabling service-oriented systems. The emergence of large-scale distributed computing paradigms, such as cloud computing and mobile computing systems, has opened many opportunities for collaboration services, which are at the core of any information system. Artificial intelligence (AI) is an area of computer science that builds intelligent systems and algorithms that work and react like humans. AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning, and they have the potential to become enabling technologies for future intelligent networks. Research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences is vital for the future development and innovation of Web and Internet applications. Chapter "An Event-Driven Multi Agent System for Scalable Traffic Optimization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.