About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

Single-Hop Sensor Network

Labeled wireless sensor network data set collected from a simple single-hop wireless sensor network deployment using TelosB motes.

Installation

npm install @stdlib/datasets-suthaharan-single-hop-sensor-network

Alternatively,

• To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
• If you are using Deno, visit the deno branch (see README for usage intructions).
• For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).
• To use as a general utility for the command line, install the corresponding CLI package globally.

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

var dataset = require( '@stdlib/datasets-suthaharan-single-hop-sensor-network' );

dataset()

Returns a dataset consisting of labeled wireless sensor network data set collected from a simple single-hop wireless sensor network deployment using TelosB motes.

var data = dataset();
/* returns
    [
        {
            'reading': 1,
            'mote_id': 1,
            'indoor': 1,
            'humidity': 45.93,
            'temperature': 27.97,
            'label': 0
        },
        ...
    ]
*/

Notes

• Humidity and temperature measurements were collected at 5 second intervals over a six hour period on May 9, 2010.
• Temperature is in degrees Celsius.
• Humidity is temperature corrected relative humidity, ranging from 0-100%.
• The label 0 denotes normal data, and the label 1 denotes an introduced event.
• If a mote was an indoor sensor, the corresponding indicator is 1. If a mote was an outdoor sensor, the indoor indicator is 0.

Examples

var incrgrubbs = require( '@stdlib/stats-incr-grubbs' );
var data = require( '@stdlib/datasets-suthaharan-single-hop-sensor-network' );

var acc;
var d;
var i;
var j;
var k;

// Get the sensor data:
d = data();

// For each mote, test for an outlier temperature measurement...
i = 0;
for ( j = 0; j < 4; j++ ) {
    k = j + 1;

    // Create a new accumulator for performing Grubbs' test:
    acc = incrgrubbs();

    // Update the accumulator with temperature data...
    while ( i < d.length && d[ i ].mote_id === k ) {
        acc( d[ i ].temperature );
        i += 1;
    }
    // Print test results:
    console.log( '' );
    console.log( 'Mote: %d', k );
    console.log( '' );
    console.log( acc().print() );
}

---

CLI

Installation

To use as a general utility, install the CLI package globally

npm install -g @stdlib/datasets-suthaharan-single-hop-sensor-network-cli

Usage

Usage: suthaharan-single-hop-sensor-network [options]

Options:

  -h,    --help                Print this message.
  -V,    --version             Print the package version.
         --format fmt          Output format: 'csv' or 'ndjson'.

Examples

$ suthaharan-single-hop-sensor-network

---

References

• Suthaharan, Shan, Mohammed Alzahrani, Sutharshan Rajasegarar, Christopher Leckie, and Marimuthu Palaniswami. 2010. "Labelled data collection for anomaly detection in wireless sensor networks." In Proceedings of the Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2010). Brisbane, Australia: IEEE.

License

The data files (databases) are licensed under an Open Data Commons Attribution 1.0 License and their contents are licensed under a Creative Commons Attribution 4.0 International Public License. The original dataset is attributed to Shan Suthaharan, Mohammed Alzahrani, Sutharshan Rajasegarar, Christopher Leckie, and Marimuthu Palaniswami and can be found here. The software is licensed under Apache License, Version 2.0.

---

See Also

• @stdlib/datasets-suthaharan-multi-hop-sensor-network: labeled wireless sensor network data set collected from a multi-hop wireless sensor network deployment using TelosB motes.

---

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

Community

---

Copyright

Copyright © 2016-2024. The Stdlib Authors.