Projet de recherche doctoral numero :8160


Date depot: 16 avril 2021
Titre: Proactive Mobility, Naming and Caching in Next Network Generation based Mobile service
Directeur de thèse: Hassine MOUNGLA (LIPADE)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini

Resumé: Forthcoming 5G and 6G networks raise an important research issue of seamless mobility management of cellular and non-cellular networks. Adopting Information Centric Networking (ICN) architecture as common mobility management is promising because existing mobility management mechanisms are complicated and incur large signaling overhead. ICN architectures target to substitute present host-centric IP network by an information-centric vision for effective, reliable, and secure information dissemination. It is based on various prominent principles like publish/subscribe model, named content, innetwork caching, and security over atomic information objects. These features allow a data chunk to be cached and retrieved from multiple nodes in the network, and can be validated without building a connection with its host. Though these tenets simplify the mobility problem in ICN, seamless mobility for real-time applications still demands a control plane. It remains to expand the futur complex network architecture capable of conveying this IoT traffic while ensuring that of the other types of traffic in a cost-effective manner and with a sufficient quality of service and Experience. To overcome the aforementioned drawbacks, one alternative solution could be the usage of proactive framework for caching and naming to forecast both user’s content request allocation and mobility pattern though having only restricted information on the user’s and network’s status. Especially in fast changing scenarios where objects/nodes/users’ positions are varying due to the mobility. On other hand one of the objectives of this thesis is to expand a mathematical framework to optimize and construe prospective complex systems typified via their wide dimensions, their stochastic aspects, and their being self-organized, like small cell telecommunication networks and/or smart grids.