Modèle d'auto-organisation pour les protocoles de routage dans les réseaux ad hoc de véhicules : application à la perception élargie et à la localisation coopératives

Abstract : Automated driving can reduce accidents and improve the traffic flow by using communications between vehicles and dedicated infrastructures. Maintaining services when an infrastructure failed requires a routing protocol adapted to vehicle-to-vehicle (V2V) communications. This dissertation assumes the absence of dedicated infrastructure and global location service, each vehicle knowing its only own position. A V2V communication organization model, Chain Branch Leaf (CBL), is proposed to create and maintain a structure that supports close exchanges between neighbouring vehicles and remote exchanges through the traffic. CBL creates a hierarchy where disjoint groups of neighbouring vehicles (leaves) are connected via a leader vehicle (branch) to a backbone (chain) formed along the road by the interconnection of the branches. CBL requires only the knowledge of the one-hop neighborhood and can be integrated into any routing protocol. The evaluations on road scenarios using IEEE-based traffic recommended on road environments in terms of size and message frequency show that CBL makes a better use of the spatial constraints due to the road. A structure is obtained that suits better in the optimisation of the broadcast traffic than the technique of multipoint relays in OLSR, but also compared to DSR, AODV and GRP protocols. Evaluations of cooperative application traffic such as ego-localization and extended perception show that CBL offers a communication service with low latency, low packet loss, according to a wanted trade-off between message frequency and performance.
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Lucas Rivoirard. Modèle d'auto-organisation pour les protocoles de routage dans les réseaux ad hoc de véhicules : application à la perception élargie et à la localisation coopératives. Réseaux et télécommunications [cs.NI]. Université de Lille, 2018. Français. ⟨tel-02003878⟩

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