Post-Doctoral Research Visit F/M Data transmission strategy analysis in a multi-modal mobile network.

Created in 2008, the Inria center at the University of Lille employs 360 people, including 305 scientists in 15 research teams. Recognized for its strong involvement in the socio-economic development of the Hauts-De-France region, the Inria center at the University of Lille maintains a close relationship with large companies and SMEs. By fostering synergies between researchers and industry, Inria contributes to the transfer of skills and expertise in the field of digital technologies, and provides access to the best of European and international research for the benefit of innovation and businesses, particularly in the region.

For over 10 years, the Inria center at the University of Lille has been at the heart of Lille's university and scientific ecosystem, as well as at the heart of Frenchtech, with a technology showroom based on avenue de Bretagne in Lille, on the EuraTechnologies site of economic excellence dedicated to information and communication technologies (ICT).

As technology advances, we are seeing an increasing number of objects communicating via more and more different communication technologies. These technologies enable objects to self-organise to form a network that evolves with their mobility, or to connect to a communication infrastructure such as a cellular or wifi network, for example.

The cohabitation of these two types of communication (node-to-node or via an infrastructure) can be useful in places where the infrastructure is unavailable or unreliable, as one mode can take over from another depending on the situation. Decisions on whether or not to transmit information are taken by so-called opportunistic routing protocols.

The literature provides some interesting elements in the field of opportunistic routing. Nevertheless, they have certain limitations that can be partially overcome by introducing the consideration of node mobility types into information transfer decisions. Our previous work has shown that a node is able to determine its mobility type by observing the different networks in its environment.

The main objective of this project is to study the best strategy based on this knowledge of mobility to achieve efficient data transmission in mobile scenarios. 

This work will be carried out jointly by Inria’s FUN and COATI teams.

As part of the Mobidec PEPR's Mobi-Sci Data Factory project, the person recruited will be responsible for studying and quantifying how taking into account the type of mobility of nodes in routing decisions has an impact on data routing performance.

This will involve defining the best routing strategies in different scenarios, identifying the right performance metrics and redundancy requirements.

The person recruited will implement different strategies and simulate them on a variety of scenarios extracted from real data sets available to the project, with a focus on ensuring reproducibility. This analysis will be supplemented by modelling of the approach and theoretical analysis.

T0-T3: Literature review and getting started with the existing system

T4-T6: First simulation testbeds, definition of scenarios

T6-T18: Deployment and analysis of strategies, simulation, evaluation

Technical skills and level required : PhD 

Languages : French, English  

Relational skills : Kindness, tolerance, involvment  

Other valued appreciated : curiosity 

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

2788 € monthly gross salary