À la Une

Soutenance de thèse Julia Buwaya

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Mme Julia Buwaya soutiendra en anglais, en vue de l'obtention du grade de docteur ès sciences, mention informatique, sa thèse intitulée:

Game-Theoretic and other Algorithmic Aspects of Mobile Crowdsensing

Date: Vendredi 15 octobre 2021 à 14h00

Lieu: en ligne, sur Zoom. Code d'accès, contactez Julia.Buwaya(at)unige.ch

 

Jury :

  • Prof. José Rolim, Département d'informatique, Université de Genève, thesis director
  • Prof. Sotiris Nikoletseas, Department of Computer Engineering and Informatics, University of Patras, Greece
  • Dr. Pierre Leone, Département d'informatique, Université de Genève
  • Dr. Eduardo Solana, Département d'informatique, Université de Genève 

Summary:

This thesis in the field of Theoretical Computer Science deals with theoretical but also practical aspects of mobile crowdsensing (MCS). MCS is a paradigm which employs personal mobile devices of private individuals to collect data for various purposes. It is an innovative and efficient method for gathering data while being subject to numerous challenges considering the involvement of humans, mobility as well as variations and limitations of mobile devices. It is precisely the human factor and the distributiveness in MCS that makes solution approaches based on a game-theoretic methodology so well-suited to address challenges as is shown in this thesis. We present innovations and advancements in MCS in the areas of energy efficiency, robustness as well as user-oriented transparent, privacy-preserving and secure handling of data collection. In addition to theoretical approaches to these issues and results, we present two real-world MCS applications, developed as part of this thesis, where noise levels, respectively, electromagnetic field strength indicators are gathered. These demonstrate in particular the potential and power of MCS to collect information that is traditionally gathered through costly measurement installations.

Besides, we contribute to research in energy-balance and wireless recharging in the field of wireless sensor networks (WSNs) as important underlying research field of MCS as well as to the Rendezvous problem which has applications in MCS and WSNs by developing a novel solution approach based on linear programming.

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