The AlliansTIC lab conducts research on connected objects and their networks using a top-down approach: from the application to the system. This work concerns both localization within buildings via radio frequency technologies, as well as the electrical modeling and optimization of RFID, HF and UHF systems. This protean ensemble that undergirds the “Internet of things” is the phenomenon which has given rise to the concept of “big data”.
INTERNET OF THINGS (IOT)
The Internet of Objects (IoT) is now at the heart of academic and industrial research because (1) the profound scientific challenges that includes, (2) the tremendous market it represents and (3) redefining the boundaries of the different actors it involves. The IoT thus requires a new architecture and a business model that takes into account the specific characteristics and requirements of this new type of network:
- Networking software-defined (SDN) is an interesting way to improve the flexibility of network infrastructure in IoT. The main feature of the SDN is to allow programming of network behavior Instead of simply configuring it.
- With network virtualization (NFV), different applications can coexist on the same shared infrastructure, allowing for the inclusion of new applications while supporting legacy applications. Two major challenges in the context of network virtualization are the isolation and allocation of resources.
- With these different technologies (SDN, NFV), network programming provides flexibility and modularity to simultaneously create multiple application-tier-driven logical networks via APIs. These different logical networks are called network slices, and is the end-to-end networking between a client and a network service based on a virtual network (SDN overlay) or physical (SDN) infrastructure.
- To achieve these objectives, 5G networks will need to be adaptable, dynamic and programmable from end to end using virtual structures. This is facilitated by the implementation of network trimming for each supported application, with tailored performance invoked autonomously and programatically.
