The FIT sites

FIT provides a large-scale experimentation environment through the federation of the following testbeds that are competitive at the worldwide level and that you can easily access

 

FIT IoT-Lab, embedded objects testbeds

A large-scale infrastructure for testing the Future Internet of Things

Our society is moving towards the “Internet of Things”, a world in which most communication over networks will be between objects rather than people. Many of these objects will be small, low-power, portable devices that are embarked on larger objects, such as vehicles, furniture, industrial machinery, or articles of clothing. We call these “embedded communicating objects” or ECOs.

Through its IoT-LAB testbeds, the FIT project will provide a very large-scale infrastructure suitable for testing heterogeneous embedded communicating objects of all sorts. Going beyond the existing SensLAB testbed, a pioneering testbed for small wireless sensor devices, the five ECO testbeds developed within FIT will encompass the following test environments:

  • Internet
  • wireless networks
  • mobile networks
  • sensor and actuator networks (SANETs)
  • home gateways and access networks
  • low-power and lossy networks (LLNs)

FIT's IoT-LAB testbeds will be located at five different sites across France: INRIA Grenoble, INRIA Lille, INRIA Rocquencourt, LSIIT Strasbourg and Institut Mines-Télécom Paris.

CorteXlab, a cognitive radio testbed

Optimizing the use of radio frequencies for wireless applications

As our use of wireless technologies increases, so popular radio frequencies are becoming more and more crowded. Poor mobile phone coverage? Difficulty with your Wi-Fi Internet connection? These problems might just be due to the multiple wireless devices in your environment competing for limited resources.

FIT’s Cognitive Radio testbed is an environment which allows experimenters to develop new technologies to resolve this and other related problems, offering scientific tools to design more efficient radio devices. Cognitive radio is an emerging technology that will permit many more devices to share the existing radio spectrum in order to communicate.

Since billions of objects are expected to use wireless links in the future, the present way the wireless medium is shared has to be revisited. The most promising approach stems from cognitive radio, which relies on three complementary mandatory properties: radio systems’ real-time reconfigurability, wireless environment awareness behaviour, and self-organization capability.

The CorteXlab testbed, hosted at INSA-Lyon in France, uses the network architecture developed in IoT-lab and will integrate SDR nodes to offer a remotely accessible development platform for distributed Cognitive Radio (CR).

FIT Wireless

Highly flexible experimentation on a wide array of wireless networking issues

Data communications take place in a combination of wired and wireless environments, and will continue to do so in the future. Europe’s OneLab experimental facility, based at UPMC in Paris, has pioneered the federation of testbeds from both domains, permitting experiments that extend from edge devices in the NITOS wireless testbed to PlanetLab Europe testbed servers connected to the core wired Internet.

The OneLab facility is known for its support for flexible lower-layer experiments as well as sophisticated measurement capabilities, and FIT will extend it with the development of three Wi-fi mesh testbeds, located at UPMC and Insitut Télécom in Paris, and INRIA Sophia-Antipolis.

Tools & Support

FIT provides support and tools that make it easy to use these environments:

An account for academic and industrial users on a single portal through which any of these sytems is accessible.

Online tutorials, documentation, and invitations to hands-on workshops and community events.

Free open-source highly capable experiment control tools designed around a set of interfaces that are being adopted worldwide.

Support an guidance to SMEs & other industrial users through the entire process of designing and running the experiment and interpreting its results.