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Pedro Henrique Gomes edited this page Jul 11, 2017 · 15 revisions

Mercator: Dense Wireless Connectivity Datasets for the IoT

Gerardus Mercator (1512-1594) was a cartographer, philosopher and mathematician. He is best known for his work in cartography. In 1569, he devised a new projection for a nautical chart which had orthogonal lines of longitude, spaced evenly, and lines of latitude spaced so that sailing courses of constant bearing were represented as straight lines (loxodromes). Its projection proved to be one of the most significant advances in the history of cartography; it heralded a new era in the evolution of navigation maps and charts and it is still their basis. He went on to become the leading European globe maker of the age.

Mercator 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.

Navigate the Data

A web interface allows you to navigate the data in the repository, at https://openwsn-berkeley.github.io/mercator/. The web interface is based on Google Map and d3js, and a published as a set of GitHub pages.

Organization

The repository is organized as follows:

  • master branch
    • metas/ contains the additional information of the motes (i.e location, availability), grouped by deployment site.
    • code/ contains the firmware run on the motes, and the scripts to run an experiment.
  • develop branch
    • the copy of the master branch on which we test new features before release.
  • gh-pages branch:
    • the code of the web interface Navigate into each directory for more detailed information.

A second repository contains the datasets: https://github.com/openwsn-berkeley/mercator_data

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. Mercator: 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. Mercator: Dense Wireless Connectivity Datasets for the IoT. In preparation.

About

These datasets are brought to do by the OpenWSN project.

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