Congestion control for vehicular safety: synchronous and asynchronous MAC algorithms
Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications
Can mobility predictions be compatible with cooperative active safety for VANET?
Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications
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
EMBARC: error model based adaptive rate control for vehicle-to-vehicle communications
Proceeding of the tenth ACM international workshop on Vehicular inter-networking, systems, and applications
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We propose an intervehicle communication framework for the cooperative active safety system (CASS) whose operation is based on the dissemination of each vehicle's state information through a wireless network. Such a CASS requires each subject vehicle to be aware of its surroundings, particularly of the motion and position of other vehicles in its proximity. In this paper, we assume that all vehicles are equipped with onboard communication devices. In such situations, the wireless channel is simultaneously shared by a large number of vehicles, and one of the most difficult challenges in designing CASS is to maintain real-time tracking accuracy of neighboring vehicles while avoiding network congestion and failure. To address this issue, we analyze the problem that multiple scalar linear time-invariant dynamical systems track each other over a multiaccess channel, and then, we propose a rate adaptation algorithm to distributively control the self-information broadcast behavior of each vehicle. The proposed algorithm uses a closed-loop control concept and accounts for the lossy channel. Simulation results show that, if the message generation rate is dynamically adjusted in an on-demand fashion, more accurate and robust tracking performance can be achieved under various traffic conditions.