14 May 2018
We are very proud to announce you the availability of 25 new LoRa/Sigfox boards in FIT IoT-LAB. The boards are ST B-L072Z-LRWAN1 boards with ST MEMS extension X-NUCLEO-IKS01A2 and are only available in Saclay site for the moment.
One important thing is the restricted access to these boards: due to the regulated access to the ISM wireless bands in Europe (LoRa EU868 band), we will grant the access to them only for specifically approved users.
Please send a request by email to firstname.lastname@example.org explaining your motivation and detailing your use case if you want to use them.
A new tutorial is written to guide you through your first steps using LoRaWAN with RIOT and TheThingsNetwork.
07 May 2018
We would like to inform you about tools updates we made on the IoT-LAB SSH frontends.
GNU Toolchain for ARM
Version 7.2 of the GNU Toolchain for ARM is now installed in /opt/gcc-arm-none-eabi-7-2017-q4-major in addition to the actual one, version 4.9, which is still used by default. To know more on how to use it or set it as the default version, see the IoT-LAB wiki.
IoT-LAB CLI Tools
For a better user experience, we released a new version of IoT-LAB command-line tools (v2.5.3). It mainly consists in renaming, adding a common prefix to the different commands.
Thus now you should use:
- iotlab-experiment (experiment-cli)
- iotlab-node (node-cli)
- iotlab-profile (profile-cli)
- iotlab-auth (auth-cli)
- iotlab-robot (robot-cli)
- iotlab-ssh (open-a8-cli)
All legacy names are always available to ensure compatibility with old scripts and tools. A deprecated message is printed when using legacy commands.
Of course you are encouraged to update.
27 Apr 2018
We are pleased to announce that the public IPv6 service on the FIT IoT-LAB testbed as been extended with the Paris site.
As a reminder, five sites implement now this service:
You can find more details about global IPv6 subnetting by reading the IPv6 documentation.
Moreover, on the Learn page, you will find some tutorials to learn how to use public IPv6 addresses with Contiki or RIOT.
23 Feb 2018
FIT and Grid5k infrastructures join their strengths to allow even more IoT experience into the newly SILECS infrastructure.
As a first step, we are proud to announce the first joint school in which you will enjoy all testbeds, facilities and possibilities we offer through presentations, tutorials and challenges.
Please, join us in Sophia Antipolis, on the French Riviera ! Registrations are open, and free !
For more information, please visit this link.
See you soon there.
16 Feb 2018
We are proud to announce the availability of the Lille new deployment: sparser, at the building scale. The whole 256 M3 nodes are available again*.
But that’s not all. We took advantage of this operation to add a new type of board in this deployment. We deployed 9 Zolertia Frirefly (3 per floor), bringing sub-1GHz communications alongside 2.4GHz.
In its original deployment, released in 2014, the Lille nodes were deployed over a 225 m2 area, hosting 256 M3 nodes. The nodes were dispatched over a regular 2D-grid, plus a few number deployed vertically on wooden poles.
The main drawback of this deployment was the density of the network – each node was able to communicate directly with any other node. Thus, we considered beneficial to propose an actual multi-hop network where the nodes are not all in range of each other. That is why we decided to make our deployment sparser and re-deploy more than half of the nodes.
The final scenario adopted is, in addition to the original dedicated room on the third floor, a distribution of nodes through offices, corridors, meeting or storage rooms across the three floors of our Inria Lille building, providing a connected network. Figures attached shows an overview of the new topology. Furthermore, offering such a topology, provides an actual deployment at a building scale.
Details, maps and pictures will be updated soon on the Lille’s deployment page
We hope it will answer your needs and experimentation scenarios.
*Be careful, coordinates of the nodes changed, and nodes ids too. Thus, experiments conduct with the same set of nodes ids, will not be ran with the same nodes and could bring different results than before.