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Section: Partnerships and Cooperations

International Initiatives

Inria International Labs

PREDNET

Participants : Nathalie Mitton [correspondant] , Viktor Toldov, Julien Vandaele.

  • Title: Predator network

  • Type: LIRIMA

  • Duration: January 2013 - December 2016

  • See also: https://iww.inria.fr/prednet/en/

  • Abstract: PREDNET (PREDator adhoc NETwork) proposes to do research on the most suitable topology and subsequent deployment of a wireless sensor network for sparsely populated outlying rural and wilderness areas, for effective monitoring and protection of resources and ecosystems. This collaboration gave birth to joint project submission, joint conference organization and several publications, among them for 2015.

Inria International Partners

Declared Inria International Partners
  • Université Mediterranea di Reggio Calabria (UNIC) (Italy)

    Objective of this collaboration is the design of an innovative architecture that enables autonomic and decentralized fruition of the services offered by the network of smart objects in many heterogeneous and dynamic environments, in a way that is independent of the network topology, reliable and flexible. The result is an 'ecosystem' of objects, self-organized and self-sustained, capable of making data and services available to the users wherever and whenever required, thus supporting the fruition of an 'augmented' reality thanks to a new environmental and social awareness. This collaboration gave birth to the PALMARES project (see section International programs), students and researchers exchanges (see section international visits) and joint publications, among them for 2015: [4] , [3] .

Informal International Partners

Southern University, China

The purpose of this collaboration is to study the green (or energy-efficient) communication problem in vehicular ad hoc networks (VANETs) and the application of vehicular network communication in green transportation. It gave birth to joint project submission, joint conference organization (UIC 2016) and several publications, among them for 2015: [9] .

PhD co-supervision

Participants : Nathalie Mitton [correspondant] , Mouna Rekik.

Since January 2013, Nathalie Mitton co-supervises Mouna Rekik as a PhD student with Pr Zied Chtourou from Université de Sfax, Tunisia. Her topic is about swarm intelligence based multi-path geographic routing for wireless sensor and actuator networks.

This work has led to the following publications in 2015: [22] , [23] , [24] , [25] .

Participation In other International Programs

CROMO

Participants : Valeria Loscri, Nathalie Mitton [correspondant] , Riccardo Petrolo, Tahiry Razafindralambo.

  • Title: Crowd Data In the mobile cloud)

  • Duration: January 2015 - December 2019

  • CroMo (Crowd Data In the mobile cloud) is a submission to the CAPES-COFECUB project call lead by Inria from the French side and University of Rio de Janeiro from Brasilian Side. Other partner institutions are Université Pierre et Marie Curie and Université de la Rochelle.

    Mobile cloud computing is an emerging paradigm to improve the quality of mobile applications by transferring part of the computational tasks to the resource-rich cloud. The multitude data sources combined with the known difficulties of wireless communications represent an important issue for mobile cloud computing. Therefore, the additional computational power added by the cloud has to deal with the constraints of the wireless medium. One could imagine a situation where different sensors collect data and require intensive computation. This data must be transmitted at high rates before becoming stale. In this case, the network becomes the main bottleneck, not the processing power or storage size. To circumvent this issue, different strategies can be envisioned. As usual alternatives, wireless data rates must be increased or the amount of data sent to the cloud must be reduced. CROMO tackles challenges from all these three components of the mobile clouds (data generation, collect and processing) to then integrate them as a whole enhanced mobile cloud with improved network performances in terms of delay, energy consumption, availability, and reliability.