ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

PhD Opening on "Connectivity control strategies for wireless networked UAV systems"

Country : France

Website : https://www.hds.utc.fr/~enataliz

Description

PhD Opening at the Heudiasyc Lab, Université de Technologie de Compiègne, France on
Connectivity control strategies for wireless networked UAV systems
A PhD position is available at the Heudiasyc Lab of the Technological
University of Compiegne, France. The candidate will join the
transversal Networking and Control research direction managed by
Professors Isabelle Fantoni and Enrico Natalizio. The position is
fully funded for three years and available from September-October
2016.
Graduate students at the M.Sc. or B.Sc. level with background in
Electrical and Computer Engineering or Computer Science are encouraged
to apply.
*Subject and skills*
In the development of distributed networked controlled system for 5G, there is a prominent need for supporting autonomous and collaborative systems that can provide high levels of Quality of Service (QoS) using mobile nodes, such as Unmanned Aerial Vehicles (UAV). From this standpoint, the PhD student will design and develop a set of control strategies for fleets of UAVs that will ensure the appropriate management of network resources and will be oriented to the network performance maximization as well as the mission achievement. In detail, the developed strategies and the associated insights will allow fulfilling specifications and constraints coming from both: (i) the communication point of view (i.e. QoS, interference shaping, etc.) and (ii) the control theory point of view (i.e. robust navigation, flight formation, task management, etc.).
The PhD student’s work will be included in the definition of an autonomous collaborative system that should also show fault tolerance features and self-* capabilities. The devised control strategy is envisioned to be based on the following strong points:
1. Decentralized/distributed network connectivity estimation coupled with agents' mobility control;
2. A two-step strategy for the management of topology control;
3. Combined Power and Mobility Control with system-status based priority assignments.
The first point will render the fleet of UAVs capable to drive the network through a specific topology and, at the same time, satisfy communication constraints.
The second point revolves around the definition of a general strategy to tackle topology control problems. The PhD student will study the possibility to find a solution for the associated constrained optimization problems in a decentralized/distributed way. In detail, the two steps of the envisioned strategy are (i) Using node mobility to define an optimal network topology under communication constraints; (ii) Apply Power Control to the resulting topology and refine the solution.
Concerning the third point the Ph.D. student will have to study the strategy to switch between the Mobility and Power Control dynamically and optimally.
Good mathematical background and knowledge in Control Theory or Wireless Networking as well as a strong interest in the other discipline are strictly required.
Furthermore, practical skills with programming
languages (C/C++) and software tools (e.g., Matlab, NS-2, NS-3) and
fluent English (written and spoken) are also required. Above all, the
applicants must be motivated to learn quickly and work effectively on
challenging research problems.
*Application process*
The following documents are required:
- CV,
- motivation letter,
- statement of research experience and interests,
- University transcripts
as attachments of an email, whose subject will be "Application for PhD
position at the Heudiasyc Lab", which must be addressed to Professors
Fantoni and Natalizio (at isabelle.fantoni-AT-hds.utc.fr and
enrico.natalizio-AT-hds.utc.fr).
Web links of research articles authored by the applicant are welcome
to be included, too.
*Timeline*
- June 14th, 2017: application submission deadline
- June 19th-20th, 2017: interview of the selected candidates
- September 2017: position start date

Last modified: 2017-06-08 23:42:29