État académique
Thèse en cours...
Sujet: Protocoles de partage de fichiers P2P sur réseaux mobiles
Direction de thèse:
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
EDWiN : leveraging device-to-device communications for Efficient data Dissemination over Wi-Fi Networks
International audience
An emerging usage is to rely on mobile devices (Smartphones or tablets) for large-scale events. They can be used for many applications like live voting or chatting, but also to access all the data related to an event. However, in such case, handling mobile devices trying to access data simultaneously is difficult. A Wi-Fi access point can only handle a limited amount of devices. Current solutions, relying on pre-loading data on the devices or over-sizing the network equipments are not satisfying and are not even always possible. We propose an approach that leverages the capability of mobile devices to interact directly through device-to-device (D2D) communications. Our solution can be tuned to choose the right level of parallelization to cope with radio interferences, it also provides the ability to adjust the trade-off between efficiency and energy consumption. We evaluate our approach using a discrete event simulator. The results show that our approach using D2D communications brings a 30% gains with our simulation.
The 31st IEEE International Conference on. Advanced Information Networking and Applications (AINA-2017) https://hal.inria.fr/hal-01515372 The 31st IEEE International Conference on. Advanced Information Networking and Applications (AINA-2017), Mar 2017, Taipei, TaiwanARRAY(0x7f04011e40e8) 2017-03-27
Device-to-Device communications using Wi-Fi Direct for Dense Wireless Networks
International audience
7th International Conference on Network of the Futur (NoF 2016) http://hal.upmc.fr/hal-01527865 7th International Conference on Network of the Futur (NoF 2016), Nov 2016, Buzios, Brazil. Proceedings of the 7th International Conference on Network of the Futur (NoF 2016), 2016ARRAY(0x7f0400a90bd8) 2016-11-16
SDN-based Wi-Fi Direct Clustering for Cloud Access in Campus Networks
International audience
Mobile cloud is changing the way to enroll teaching activities in university campus. Lectures and lab sessions can be carried out directly from tablets in a class room by accessing a server in the cloud. In this paper, we address the problem of high density cloud access with wireless devices in campus networks. We propose to use Wi-Fi Direct clustering to solve the problem of Quality of Service (QoS) degradation when a high number of wireless devices want to access a content in the cloud at the same time. A centralized software-defined network controller is used in our proposed architecture to capture the network state and organize the Wi-Fi Direct groups. The optimized number of clusters can be calculated in function of the number of devices in the room. By simulations, we show that we can provide a better QoS in terms of download time and application's throughput by reducing the interference in this dense wireless network environment.
Annals of Telecommunications, Springer http://hal.upmc.fr/hal-01567735 Annals of Telecommunications, Springer, 2017, <10.1007/s12243-017-0598-z>ARRAY(0x7f03fff8bfd0) 2017