Topology Control in VANET and Capacity Estimation

Anh Tuan Giang 1 Anthony Busson 2, * Alain Lambert 3 Dominique Gruyer 4, *
* Corresponding author
1 Division Télécoms et Réseaux - L2S
L2S - Laboratoire des signaux et systèmes : 1289
2 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme, IXXI - Institut Rhône-Alpin des systèmes complexes
Abstract : Some safety applications using VANET exchange a large amount of data, and consequently require an important network capacity. In this paper, we focus on extended perception map applications, that use information from local and distant sensors to offer driving assistance (autonomous driving, collision warning, etc). Extended perception requires a high bandwidth that might not be available in practice in classical IEEE 802.11p ad hoc networks. Therefore, we propose an adaptive power control algorithm optimized for this particular application. We show through an analytical model and a large set of simulations that the network capacity is then significantly increased.
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Anh Tuan Giang, Anthony Busson, Alain Lambert, Dominique Gruyer. Topology Control in VANET and Capacity Estimation. 2013 IEEE Vehicular Networking Conference (VNC), Dec 2013, BOSTON, United States. ⟨10.1109/vnc.2013.6737600 ⟩. ⟨hal-00922261⟩

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