• Wireless networks
  Wireless networks have become ubiquitous in our daily lives. Expectations on their performance (e.g., throughput, delay, scalability) are constantly growing; this raises new challenges for the sizing, configuration, and design of existing and forthcoming computer networks. The team studies every type of wireless network, with a special focus on WLANs, vehicular networks, and IoT networks. With the aim of providing holistic solutions, the team is also interested in the interactions between wireless and wired networks.
  
  
• Frequent tools and methods
  

  The solutions proposed by the team often make use of probabilistic models, typically based on Markov chains or queueing models, distributed algorithms, and/or machine learning approaches. Their validation is most often carried out through discrete-event simulation and experimental tests.

• Energy efficiency
  The team aims at giving a special focus to the energy efficiency of computer networks throughout its activities. We attempt to systematically include green efficiency as a new evaluation factor in our studies. This leads us to explore and consider new trade-offs that may depart from the sheer maximization of the classical performance parameters.

Main collaborations: University of California, Santa Cruz (USA); University of Ottawa (Canada); TélécomSudParis (France); Polytechnic University of Catalonia (Spain); CITI lab; Stackeo Inc.