
Internet of Things: Do-It-Yourself at Home Projects for Arduino, Raspberry Pi and BeagleBone Black e-bog
177,19 DKK
(inkl. moms 221,49 DKK)
Build and program projects that tap into the Internet of Things (IoT) using Arduino, Raspberry Pi, and BeagleBone Black! This innovative guide gets you started right away working with the most popular processing platforms, wireless communication technologies, the Cloud, and a variety of sensors. You'll learn how to take advantage of the utility and versatility of the IoT and connect devices and...
E-bog
177,19 DKK
Forlag
McGraw Hill TAB
Udgivet
30 januar 2015
Længde
512 sider
Genrer
Electronics engineering
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9780071835213
Build and program projects that tap into the Internet of Things (IoT) using Arduino, Raspberry Pi, and BeagleBone Black! This innovative guide gets you started right away working with the most popular processing platforms, wireless communication technologies, the Cloud, and a variety of sensors. You'll learn how to take advantage of the utility and versatility of the IoT and connect devices and systems to the Internet using sensors. Each project features a list of the tools and components, how-to explanations with photos and illustrations, and complete programming code. All projects can be modified and expanded, so you can build on your skills.The Internet of Things: DIY Projects with Arduino, Raspberry Pi, and BeagleBone Black Covers the basics of Java, C#, Python, JavaScript, and other programming languages used in the projectsShows you how to use IBM's Net Beans IDE and the Eclipse IDEExplains how to set up small-scale networks to connect the projects to the InternetIncludes essential tips for setting up and using a MySQL database.The fun, DIY projects in the book include: Raspberry Pi home temperature measurementsRaspberry Pi surveillance webcamsRaspberry Pi home weather stationArduino garage door controllerArduino irrigation controllerArduino outdoor lighting controllerBeaglebone message panelBeaglebone remote control SDRMachine-to-machine demonstration project