Hassine Moungla Professor, Universté Paris Cité
Research Interest
Hassine Moungla's research interests are in the field of Wireless Networks, Edge Computing/5G and new generation network, Internet of Things (IoT), Information-Centric Networking (ICN) for IoT, Machine-to-Machine Communication, Edge Computing with emphasis on Architectures and Protocols for Quality of Service.
He currently focus is on these different activities:
- Energy and QoS architecture and protocols, cross-layer design for Energy and QoS
- Interferences Mitigation in Wireless Networks
- Edge Computing, VANET, Mobility
- ICN, NDN, Distributed Caching, Edge Computing
- Internet of Things/5G and New Generation Networks and Security
Projects
I am involved (and I have been involved) in different research projects related to networking area.Bilateral HUAWEI Project (In Progress)
The project aims to address challenges arising from the synergy between AI and communication networks, with a focus on the development of AI algorithms . [URL]
Joint Research program Wuhan University, China and Université Paris Cité (In Progress)
The project aims to address challenges arising from Data Fusion in Vehicular Edge Computing. [URL]
SO-CUTE (AI Solver Optimization for Edge Vehicular Self Driving) (In Progress)
The project aims to develop an AI-based architecture capable of making complex decisions in the context of autonomous driving. The latter aims to combine improved symbolic AI solvers and the different categories of neural networks.. [URL]
SMARGRID for Smart City
The project aims to develop cooperative learning algorithms adapted to smart grids and the analysis of urban data for smart cities. [URL]
DVD2C
The main goal of the project is to combine the available resources in networks and Cloud in order to create a new Virtual Content Delivery Network (vCDN). This vCDN concept will exploit all the available resources in the current CDNs and the shared/wasted resources by creating the vCDN on demand and release it when there are no needs for it. Also, the project aims at proposing a new methodology of publicity insertion in real time video based on customers experience and adapted in dynamic way with the delivery of content. [URL]
LCI4D
Low Cost Infrastructure for Developing Countries (LCI4D, competitivity cluster SYSTEM@TIC - 2014-2017), aims at providing low cost infrastructure to connect isolated rural and sub-urban areas to the Internet. In order to reduce the installation and maintenance costs, LCI4D proposes the usage of self-configured Wireless Mesh Networks (WMNs) to connect outdoor femtocells to the remote Marco cell (gateway). These femtocells are multimode embedding both cellular and mesh WiFi technologies. The mesh WiFi part is used to form a mesh backhaul to relay cellular data of cellular devices to the gateway.
BIOSENSORS
The first objective is to provide a framework, models and technologies to design optimised wireless communication systems targeting the body area network based applications in medical and sport domains.
The second objective of BIOSENSORS project is to work for a reduction of power consumption at the lowest to improve usage acceptance and ease, enhance lifetime, reduce size, make energy scavenging techniques adequate and, simply, save energy.
Funded by: French research ministry and Paris Descartes University..
TOSACNE
To optimally cope with heterogeneous end device capabilities and access network link dynamics, a novel integrated video streaming system is proposed. The TOSCANE system provides scalable video encoding, transmission, and quality monitoring and adaptation over wired (xDSL) and wireless (WiFi) access and residential networks. The various components of the system are designed for supporting both "Live" multicast and "on-demand" unicast video services.
PLASTIC (EU-IST FP6 STREP)
The core objective of the PLASTIC (Providing dependable and Adaptive Service Technology for pervasive Information and Communication)project is to enable the development and deployment of cost-effective application services, both in terms of development and usage costs, for B3G networks, by provisioning the PLASTIC platform.
The PLASTIC platform will be assessed via the development of mobile distributed services in the area of e-business, e-health and e-voting.
Project Partners: INRIA Roquencourt, SIEMENS Germany, V-TRIP Greece, 4D Soft Hungary,CNR-Pistal and University of L’AQUILLA - Italy, TELEFONICA Spain, USI Switzerland , UCL United Kingdom, PRAGMA Argentina.
SWAN Project (RNRT Self aWare mANagement)
Proposes to develop and try methods of Autonomous Management, According to this vision, the system manages themselves, in, a distributed way, following objectives established by the administrator.
The new components are integrated without effort of human operator, and configure themselves. This vision can be declined for inter-domain management of heterogeneous networks and services. It can also adapt to the problems of the administration of the Web Services, or, more generally, to large distributed software platforms.
SWAN main objectives are:
- To bring out autonomous management problematic that would be common to the supervision of the networks and to the administration of the Web Services (In particular around the management by policies and negotiation of SLS).
- To contribute to the development of mathematical tools for autonomous management (formal framework and algorithms), to try out of these methods within two platforms, one concerning the self-configuration on the equipment (for example using XML technology), the other deploying inter-connected Web Services.
Project Partners: LORIA INRIA Lorraine, Labri, QOSMETRIX, ALCATELCIT, IRISA INRIA Rennes, France Télécom.
MAGDA2 Project
The objective of the project was to find solutions to the problems of managing heterogeneous networks, taking account of events involving the interaction between the network layer and the service layer.
To this end, we planned on first hand to study and developed robust correlation and diagnosis algorithms for telecommunication networks as well as for the interaction between the network layer and layer services.
Furthermore, we have developed automation technology (partial) from the acquisition of knowledge and models.
Project Partners: ALCATEL, FTR&D, ILOG, INRIA/IRISA, LIPN.