Rejab HAJLAOUI : "Heuristic resolution of routing problem in ad hoc vehicle networks

Work thesis of Rejab HAJLAOUI : "Heuristic resolution of routing problem in ad hoc vehicle networks"

Abstract: Vehicular ad hoc networks (VANETs) consist of a set of vehicles trying to exchange security and comfort data even if they are not directly within radio range of each other. The problems related to VANET networks are not yet solved. In this context, and in order to maximize the stability in the VANETs networks, we propose different contributions combining the metaheuristics and the clustering technique.
First, we propose a routing model using the most efficient clustering algorithm K-medoids. Then, we propose several improvements using metaheuristics, more precisely the AGs, the RT and the Scatter Search. Finally, we propose a real application that uses the Arduino Uno platform to allow communication between three mobile robots in an areas not covered by the VANET network.
Using various metrics, extensive simulations prove that our contributions show good results compared to other models designed for the same purpose.

Members of Jury :

Michael KRAJECKI, Professeur à l'Université de Reims, Rapporteur
Pascal LORENZ, Professeur à l’Université de Haute-Alsace, Rapporteur
François SPIES, Professeur à l’Université de Franche-Comté, Examinateur
Abdelhafid ABOUAISSA, Maître de Conférence HDR à l’Université de Haute-Alsace, Examinateur
Tarek MOULAHI, Maitre Assistant à l'Université de Kairouan, Tunisie, Examinateur
GUYENNET Hervé, Professeur à l’Université de Franche-Comté, Directeur de thèse

Location : Salle des Actes - UFR Sciences et Techniques, 16 Route de Gray à Besançon