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HOWNET

HoWNet

Holistic wireless Networks

Team leader: Thomas Begin

Keywords: Wireless networks, Energy efficiency, Experimental validation, Performance Evaluation, Stochastic Modeling

 

  • 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.