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Networking & Stochastic and Combinatorial Optimization (ROCS)

ROCS is a joint team with researchers in Networking and Stochastic and Combinatorial Optimization. The ultimate aim of the Networking part is to deal with research related to user mobility, quality of service and security mainly over wireless communication networks regardless their types, with or without infrastructure. New solutions are investigated for optimizing several networking parameters such as routing, energy, security, scheduling and resources. These solutions lead to the definition of algorithms and protocols that must achieve high performance results. The Stochastic and Combinatorial Optimization part is using optimization paradigm as a fundamental component of research methodology which is mainly built on the combined design, modeling, and performance evaluation of the proposed optimized solutions. The main research is related to deterministic combinatorial optimization and stochastic optimization. The main objective of ROCS is to deal with crucial topics and future developments especially in mobile networks by developing strong collaborations to solve complex network optimization problems.

Group Members
  Group leader
    YAHIYA Tara

    AL AGHA Khaldoun
    GICQUEL Céline
    MARTIN Steven
    QUADRI Dominique
    YAHIYA Tara
    ZEMA Nicola

  Non-permanent research staff
    ABDULAZEEZ Abdulhakeem
    ASEFA ASHENGO Yeabsira
    AUGU Charles
    LIAO Ruiwen
    PATANÈ Rosario

Research activities
  Stochastic Combinatorial Optimization
  Networking optimization

Software & patents
  FR0652963: Protocole de routage ad hoc résistant aux noeuds égoïstes
  Qolyester: implementation from scratch of the OLSR protocol
  FR0958890: A method for quality-based routing in a multi-hop network
  cTuning: public repository and tools for collaborative and statistical program and architecture characterization and optimization
  Traffic unification in wild networks: Traffic unification in wild networks

Recent Ph.D. dissertations & faculty habilitations
  Étude et Conception d'une Gestion Décentralisée des Données du Trafic Routier basée sur la Blockchain dans un réseau VANET (Réseaux Ad hoc Véhicules)
  Automatic coordination of quadrotors swarm using ad hoc networks
  Optimized beamforming and user-to-cell association for future dense networks