Time-to-collision-based awareness and congestion control for vehicular communications

Vehicular wireless communications require both congestion control to guarantee the availability of a fraction of the bandwidth for safety-related event-driven messages in emergency cases, and awareness control to adapt the beaconing activity to the application needs and surrounding traf_c situation....

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Detalles Bibliográficos
Autores: Aznar Poveda, Juan, Egea López, Esteban, García Sánchez, Antonio Javier, Pavón Mariño, Pablo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universidad Politécnica de Cartagena(UPCT)
Repositorio:Repositorio Digital UPCT
OAI Identifier:oai:repositorio.upct.es:10317/11192
Acceso en línea:http://hdl.handle.net/10317/11192
https://ieeexplore.ieee.org/abstract/document/8880565
Access Level:acceso abierto
Palabra clave:Awareness control
Beaconing rate control
Congestion control
Time-to-collision
Vehicular communications
Ingeniería Telemática
1203.04 Inteligencia Artificial
3325 Tecnología de las Telecomunicaciones
Descripción
Sumario:Vehicular wireless communications require both congestion control to guarantee the availability of a fraction of the bandwidth for safety-related event-driven messages in emergency cases, and awareness control to adapt the beaconing activity to the application needs and surrounding traf_c situation. Most current approaches either ignore the traf_c situation and only adapt the beaconing rate to the channel congestion state or override the congestion control limits, leading to questionable results in both cases. In this paper, we conceive and validate a novel approach, combining both aspects. Based on distributed Network Utility Maximization (NUM), our algorithm satis_es the constraints on channel availability, whereas the safety of the surrounding traf_c situation is captured with a time-to-collision metric, used to assign priorities in the optimal allocation problem. The performance of the proposed approach is validated and compared to other popular algorithms. Results show that our proposal automatically anticipates a potential increase in rate due to a critical safety situation, but does not interfere with the reserved bandwidth for safety applications.