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Distributed Network Data (From Hardware to Data to Visualization)

List Price: $19.99
SKU:
9781449360269
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  • Product Details

    Author:
    Alasdair Allan, Kipp Bradford
    Format:
    Paperback
    Pages:
    168
    Publisher:
    O'Reilly Media (April 23, 2013)
    Language:
    English
    ISBN-13:
    9781449360269
    ISBN-10:
    1449360262
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251022163324-20251022.xml
    Folder:
    TWO RIVERS
    List Price:
    $19.99
    As low as:
    $17.19
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Case Pack:
    25
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    9.92oz
    Imprint:
    O'Reilly Media
  • Overview

    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 O’Reilly 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 LabVIEW