Distributed Network Data: From Hardware to Data to Visualization

Author:

Alasdair Allan

Publisher:

Shroff/O'Reilly

Rs325

Availability: Available

Shipping-Time: Usually Ships 5-9 Days

    

Rating and Reviews

0.0 / 5

5
0%
0

4
0%
0

3
0%
0

2
0%
0

1
0%
0
Publisher

Shroff/O'Reilly

Publication Year 2013
ISBN-13

9789351100782

ISBN-10 9789351100782
Binding

Paperback

Number of Pages 188 Pages
Language (English)
Dimensions (Cms) 24 X 18 X 1
Weight (grms) 358
Build your own distributed sensor network to collect, analyze and visualize real-time data about our human environment including noise level, temperature and people flow. With this hands-on book, you'll learn how to turn your project idea into working hardware, using the easy-to-learn Arduino microcontroller and off-the-shelf sensors. Authors Alasdair Allan and Kipp Bradford walk you through the entire process, from prototyping a simple sensor node to performing real-time analysis on data captured by a deployed multi-sensor network. Demonstrated at recent OReilly Strata Conferences, the future of distributed data is already here. If you have programming experience, you can get started immediately. Wire up a circuit on a breadboard and use the Arduino to read values from a sensor. Add a microphone and infrared motion detector to your circuit. Move from breadboard to prototype with Fritzing, a program that converts your circuit design into a graphical representation. Simplify your design: learn use cases and limitations for using Arduino pins for power and grounding. Build wireless networks with XBee radios and request data from multiple sensor platforms. Visualize data from your sensor network with Processing or Lab VIEW.

Alasdair Allan

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.
No Review Found
More from Author