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Distributed Network Data (Englisch) Taschenbuch – 22. März 2013
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Über den Autor und weitere Mitwirkende
Alasdair Allan is a senior research fellow in Astronomy at the University of Exeter, where he is building an autonomous, distributed peer-to-peer network of telescopes that reactively schedule observations of time-critical events. He also runs a small technology consulting business writing bespoke software and building open hardware, and is currently developing a series of iPhone applications to monitor and manage cloud-based services and distributed sensor networks.
Kipp Bradford is an educator, technology consultant, and entrepreneur with a passion for creating new products as well as finding new applications for existing technologies. He was the founder or cofounder of start-ups in the fields of transportation, consumer products, HVAC, and medical devices, and holds numerous patents for his inventions. Kipp co-founded Revolution By Design, Inc, a non-profit education and research organization dedicated to empowerment through technology and co-organizes Rhode Island's mini Maker Faire. As the Senior Design Engineer and Lecturer at the Brown University School of Engineering, Kipp teaches several engineering design and entrepreneurship courses. He is the chair of the Rhode Island Entrepreneurship Faculty group and serves on the boards of The Steel Yard and AS220. He is also on the technical advisory board of MAKE Magazine and is a Fellow at the College of Design, Engineering and Commerce at Philadelphia University.
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Create a sensor like this one. [...]
If you want to create a network of multi-sensor Arduino modules that share information, this book delivers. The authors' extensive "hands on" experience produces a practical recipe for success. Beginners through intermediate users will appreciate the clarity of steps building from parts to a working network of sensor modules.
The authors break down this task into three major chunks:
Part 1 - Building a multiple sensor Arduino module: The book's first six chapters walk a reader through setting up multiple sensors (temperature/humidity, motion, sound) with an Arduino. Chapter by chapter, the reader learns about hardware, adding a sensor to work with an Arduino, how to add multiple sensors, wiring up a breadboard, using Fritzing, and soldering a prototype multi-sensor module.
Part 2 - Creating a network of sensor modules: In this part, the authors dive into the details of using XBee wireless controllers. In one chapter, they cut the USB cord and show how the XBee can be used for wireless communication. Once the user masters a single XBee/Arduino sensor module, the books shows how two modules can be used for point to point wireless communication. Gradually, the authors give you instruction on how to create a "many to point" or star network to allow call and response by the modules. Although there is not a specific tutorial on creating a mesh network, the authors build your skill level and confidence, and you should be able to tackle the projects in their suggested book.
Part 3 - Visualizing and using information from the sensor modules: Visualizing data is a broad topic; consider this book as a starting point. Lego Mindstorm enthusiasts (as well as those looking to create an information dashboard) will appreciate the chapter on LabView. A suggestion for future revisions would be to add more detail or resources on how Python can be used for data visualization using SciPy and NumPy.
Overall, the authors deliver a technically solid book. A reader can build confidence as they successfully navigate from chapter to chapter -- concept to working system. If I can find the time, I may place some sensor modules in multiple places in my own garden to track temperature and humidity and perhaps use the sound input to provide an alert when the bunnies are eating my vegetables!
Creating wireless sensor networks and saving values to the cloud are increasingly important topics for the Data Scientists and Electronics hobbyist. This easy-to-follow tutorial guides the experimenter through this process with the popular and inexpensive Arduino. One slight caveat which should not be a barrier to anyone experimenting with physical computing is that the initial examples are shown using a Mac-based software, but these examples are easily translated to Windows and Linux platforms with documentation online. I highly recommend this book to the Maker, experimenter, or anyone interested in the Internet of Things and Sensor Networks.
--Ira Laefsky, MS Engineering/MBA Information Technology Consultant and Maker at Philly's Hive 76 hackerspace
formerly on the Senior Consulting Staff of Arthur D. Little, Inc. and Digital Equipment Corporation