Optimal data rate selection for vehicle safety communications
Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking
VANET '11 Proceedings of the Eighth ACM international workshop on Vehicular inter-networking
VANET '11 Proceedings of the Eighth ACM international workshop on Vehicular inter-networking
Analytically modelling the performance of piggybacking on beacons in VANETs
Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications
Preventing a DoS threat in vehicular ad-hoc networks using adaptive group beaconing
Proceedings of the 8h ACM symposium on QoS and security for wireless and mobile networks
Joint power/rate congestion control optimizing packet reception in vehicle safety communications
Proceeding of the tenth ACM international workshop on Vehicular inter-networking, systems, and applications
Beaconing Approaches in Vehicular Ad Hoc Networks: A Survey
Wireless Personal Communications: An International Journal
Reverse back-off mechanism for safety vehicular ad hoc networks
Ad Hoc Networks
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In the future intervehicle communication will make driving safer, easier, and more comfortable. As a cornerstone of the system, vehicles need to be aware of other vehicles in the vicinity. This cooperative awareness is achieved by beaconing, the exchange of periodic single-hop broadcast messages that include data on the status of a vehicle. While the concept of beaconing has been developed in the first phase of research on VANETs, recent studies have revealed limitations with respect to network performance. Obviously, the frequency of beacon messages directly translates into accuracy of cooperative awareness and thus traffic safety. There is an indisputable trade-off between required bandwidth and achieved accuracy. In this work we analyze this trade-off from different perspectives considering the consequences for safety applications. As a solution to the problem of overloading the channel, we propose to control the offered load by adjusting the beacon frequency dynamically to the current traffic situation while maintaining appropriate accuracy. To find an optimal adaptation, we elaborate on several options that arise when determining the beacon frequency. As a result, we propose situation-adaptive beaconing. It depends on the vehicle's own movement and the movement of surrounding vehicles, macroscopic aspects like the current vehicle density, or microscopic aspects.