Beginning LoRa Radio Networks with Arduino

Beginning LoRa Radio Networks with Arduino

Author: Pradeeka Seneviratne

Publisher: Apress

Published: 2019-02-18

Total Pages: 315

ISBN-13: 1484243579

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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 codeConnect 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


Beginning LoRa Radio Networks with Arduino

Beginning LoRa Radio Networks with Arduino

Author: Pradeeka Seneviratne

Publisher:

Published: 2019

Total Pages:

ISBN-13: 9781484243589

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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.


Building Wireless Sensor Networks

Building Wireless Sensor Networks

Author: Robert Faludi

Publisher: "O'Reilly Media, Inc."

Published: 2010-12-14

Total Pages: 322

ISBN-13: 1449302742

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Get ready to create distributed sensor systems and intelligent interactive devices using the ZigBee wireless networking protocol and Series 2 XBee radios. By the time you're halfway through this fast-paced, hands-on guide, you'll have built a series of useful projects, including a complete ZigBee wireless network that delivers remotely sensed data. Radio networking is creating revolutions in volcano monitoring, performance art, clean energy, and consumer electronics. As you follow the examples in each chapter, you'll learn how to tackle inspiring projects of your own. This practical guide is ideal for inventors, hackers, crafters, students, hobbyists, and scientists. Investigate an assortment of practical and intriguing project ideas Prep your ZigBee toolbox with an extensive shopping list of parts and programs Create a simple, working ZigBee network with XBee radios in less than two hours -- for under $100 Use the Arduino open source electronics prototyping platform to build a series of increasingly complex projects Get familiar with XBee's API mode for creating sensor networks Build fully scalable sensing and actuation systems with inexpensive components Learn about power management, source routing, and other XBee technical nuances Make gateways that connect with neighboring networks, including the Internet


Web, Artificial Intelligence and Network Applications

Web, Artificial Intelligence and Network Applications

Author: Leonard Barolli

Publisher: Springer Nature

Published: 2020-03-30

Total Pages: 1487

ISBN-13: 3030440389

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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.


Building Wireless Sensor Networks with ESP32 LoRa

Building Wireless Sensor Networks with ESP32 LoRa

Author: Agus Kurniawan

Publisher: PE Press

Published:

Total Pages: 60

ISBN-13:

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This is a practical book how to implement a simple Wireless Sensor Networks (WSN) with ESP32 over LoRa network. The following is a list of highlight topics in this book. * Preparing Development Environment * Set up ESP32 LoRa * Sending and Receiving Data over ESP32 LoRa * Handling LoRa Receiver Interrupt * Broadcast Messages over LoRa Network * Building WSN Application Based ESP32 LoRa


Radio Resource Management in Wireless Networks

Radio Resource Management in Wireless Networks

Author: Ekram Hossain

Publisher: Cambridge University Press

Published: 2017-04-27

Total Pages: 433

ISBN-13: 1108158358

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Do you need to design efficient wireless communications systems? This unique text provides detailed coverage of radio resource allocation problems in wireless networks and the techniques that can be used to solve them. Covering basic principles and mathematical algorithms, and with a particular focus on power control and channel allocation, you will learn how to model, analyze, and optimize the allocation of resources in both physical and data link layers, and for a range of different network types. Both established and emerging networks are considered, including CDMA and OFDMA wireless networks, relay-based wireless networks, and cognitive radio networks. Numerous exercises help you put knowledge into practice, and provide the tools needed to address some of the current research problems in the field. This is an essential reference whether you are a graduate student, researcher or industry professional working in the field of wireless communication networks.


Making Things Talk

Making Things Talk

Author: Tom Igoe

Publisher: "O'Reilly Media, Inc."

Published: 2011-09-15

Total Pages: 492

ISBN-13: 1449392431

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Now fully updated, this book contains a series of projects that teaches readers what they need to know to get their creations talking to each other, connecting to the Web, and forming networks of smart devices.


TinyML

TinyML

Author: Pete Warden

Publisher: O'Reilly Media

Published: 2019-12-16

Total Pages: 504

ISBN-13: 1492052019

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Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size


Arduino Programming with .NET and Sketch

Arduino Programming with .NET and Sketch

Author: Agus Kurniawan

Publisher: Apress

Published: 2017-03-13

Total Pages: 177

ISBN-13: 1484226593

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Leverage .NET and Sketch in your Arduino development implementation and integrate it into your .NET program. There are many Arduino models and compatible shields that can be used in Arduino boards. Integrating between an Arduino platform and .NET technology or Sketch can produce more advantages. Arduino Programming using .NET and Sketch shows readers how to do so with practical Arduino projects, such as preparing a development environment, performing sensing and actuating with external devices, implementing Windows Remote Arduino and building a simple IoT program. Use this quick reference to learn the basics of the Arduino platform for multiple models and start your Arduino programming in .NET and Sketch today. What You'll Learn: Learn the basics of the Arduino platform Prepare and set up an Arduino development environment Develop an Arduino program using .NET and Sketch Implement Windows Remote Arduino Build a simple IoT program Who This Book Is For: .NET and Sketch developers who want to learn Arduino programming.