Ph.D
Group : Networking

Distributed Algorithms for Security and Quality of Service in Mobile Ad Hoc Networks

Starts on 01/10/2004
Advisor : AL AGHA, Khaldoun
[Khaldoun AL AGHA]

Funding : AM
Affiliation : Université Paris-Saclay
Laboratory : LRI

Defended on 29/09/2008, committee :

Research activities :
   - Distributed algorithms
   - Ad hoc networks
   - Wireless networks
   - Mobile networks
   - 

Abstract :
Mobile ad hoc networks pose new challenges in terms of routing and security. Mature proposed routing protocols assume the complete cooperation of the nodes and in particular the absence of malicious nodes. As the retransmission of data packets is not taken care of by proactive protocols themselves, it is not enough to secure the latter to prevent malicious nodes from dropping the former while playing by the rules in control messages. We propose a detection method for these droppings that provides a reliability metric used in a QoS proactive link-state routing protocol to find paths going around malicious nodes. Performance evaluation by simulation shows acceptable results and the implementation in an experimental OLSR protocol platform revealed a few interesting problems for which we have already proposed some solutions.

More information: http://www.lri.fr/~ig/Gawedzki-thesis-colors.pdf

CAUSAL LEARNING FOR DIAGNOSTIC SUPPORT


CAUSAL UNCERTAINTY QUANTIFICATION UNDER PARTIAL KNOWLEDGE AND LOW DATA REGIMES


MICRO VISUALIZATIONS: DESIGN AND ANALYSIS OF VISUALIZATIONS FOR SMALL DISPLAY SPACES
The topic of this habilitation is the study of very small data visualizations, micro visualizations, in display contexts that can only dedicate minimal rendering space for data representations. For several years, together with my collaborators, I have been studying human perception, interaction, and analysis with micro visualizations in multiple contexts. In this document I bring together three of my research streams related to micro visualizations: data glyphs, where my joint research focused on studying the perception of small-multiple micro visualizations, word-scale visualizations, where my joint research focused on small visualizations embedded in text-documents, and small mobile data visualizations for smartwatches or fitness trackers. I consider these types of small visualizations together under the umbrella term ``micro visualizations.'' Micro visualizations are useful in multiple visualization contexts and I have been working towards a better understanding of the complexities involved in designing and using micro visualizations. Here, I define the term micro visualization, summarize my own and other past research and design guidelines and outline several design spaces for different types of micro visualizations based on some of the work I was involved in since my PhD.