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Thomas Watteyne edited this page Sep 8, 2014 · 15 revisions

Aila: Dense Wireless Connectivity Datasets for the IoT

Aila is a collection of connectivity datasets gathered on the IoT-LAB sites. These datasets are:

  • dense in time, meaning the connectivity is continuously assessed over a long period of time; it allows one to see variation of connectivity over time.
  • dense in space, meaning the connectivity is assessed over hundreds of measurements points; it allows one to see how connectivity is affected by the location of transmitter and receivers.
  • dense in frequency, meaning the connectivity is assessed for each of the 16 IEEE802.15.4 frequencies; it allows one to see how connectivity is affected by the communication frequency.

Possible uses for this data:

  • get a better of how propagation at in IEEE802.15.4 at 2.4GHz looks like,
  • make an informed decision about the motes you will use in your next IoT-LAB experiment,
  • develop propagation models taking into account time and frequency,
  • use this connectivity traces as the foundation of a simulation,
  • etc.

All experiments are run on the IoT-LAB testbed. This open testbed comprises 2,728 wireless devices deployed on six sites across France. A RESTful web interface enables a user to remotely reserve a number of devices, reprogram them with custom firmware, and monitor their activity.

Organization

The repository is organized as follows:

  • master branch
    • datasets/ contains the datasets, grouped by experiment.
    • locations/ contains the locations of the motes, grouped by deployment site.
    • code/ contains the firmware run on the motes, and the scripts to run an experiment.
  • gh-pages branch:

Navigate into each directory for more detailed information.

Web Interface

A web interface allows you to navigate the data in the repository, at https://openwsn-berkeley.github.io/aila/. The web interface is based on d3js, and a published as a set of GitHub pages. The source code is of the web interface is in the gh-pages branch of this repository.

License

These dataset and associated code is published under the OpenWSN license.

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You are welcome to use these datasets in your scientific publication. We do ask that you cite the following paper:

  • Thomas Watteyne, Constanza Pérez García, Diego Dujovne. Aila: Dense Wireless Connectivity Datasets for the IoT. in preparation.

Publications

(feel free to any publications using these datasets to the list below)

  • Thomas Watteyne, Constanza Pérez García, Diego Dujovne. Aila: Dense Wireless Connectivity Datasets for the IoT. in preparation.

About

These datasets are brought to do by the OpenWSN project.

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