OpenVisualizer (OV) is part of UC Berkeley's OpenWSN project. It provides monitoring, visualization, and debugging for an OpenWSN-based wireless sensor network. See the project home page for more information.

Run at Local

If you have the wireless sensor nodes on your local, you can use the following command to start the OpenVisualizer:

    > cd OpenVisualizer
    > scons runweb

Then the OV starts a web server at localhost:8080 where you can see the mote information. A online dashboard at openwsn-dashboard is available for everyone to check the end-to-end performance at real-time. The performance showing on the dashboard is based on the uinject application available in OpenWSN Firmware. So just make sure uinject is enabled when you program your wireless sensor nodes.

Run at Local without internet

In case you don't have the internet access at the moment, you can disable the OV to connect to the dashboard by starting with following command:

    > scons runweb --mqtt-broker-address=null

Run with OpenTestbed

If you have programmed the OpenWSN firmware over the OpenTestbed, you can run OV with following command to monitor the nodes:

    > scons runweb --opentestbed --opentun-null

You may install OpenVisualizer with the standard pip command line, as shown below. See the pip installation instructions if it is not installed already. You must be logged in with Windows administrator or Linux superuser privileges to install to system-level directories.

    > pip install openVisualizer

Alternatively, you may download the OpenVisualizer archive, extract it, and install with the standard Python setup.py command line, as shown below. This command uses pip to retrieve other required Python libraries.

    > python setup.py install

You also may need to separately install a driver for a USB-connected mote. On Windows, a couple of other tools are required. See the OpenVisualizer installation page for a list.

Once everything is installed, you may run the web interface, GUI, or command line utiltity as described on the OpenVisualizer home page.

To uninstall a pip-based installation, use the command line::

> pip uninstall openVisualizer

Please contact us via the mailing list or an issue report if you have any questions or suggestions.

Thanks!