@inproceedings{d6cfa24d41c34611bfa5e92235d97dd8,
title = "A Multi-rate Congestion Controller for Pedestrian Communication",
abstract = "Pedestrian-to-Everything (P2X) communication can support numerous applications from improving traffic light cycle schedules to increase pedestrian safety. However, challenges, such as limited wireless channel resources and battery power, need to be addressed before mass deployment of these systems. In this paper, we introduce a distributed channel congestion control algorithm for Personal Safety Messages (PSMs) that can converge in heterogeneous application environments with different message rates. Different message rates arise, for example, with contextual transmission policies (CTP) that activate different applications based on situational context, such as the estimated positioning accuracy. To minimize channel sensing energy usage, we further propose a novel collaborative channel load measurement mechanism. To evaluate these proposals, we simulate a dense pedestrian scenario in ns-3 with heterogeneous message rates. The simulations show that the proposed algorithm converges and improves the information age for P2X safety applications while reducing energy consumption by 90\% compared to existing vehicle-to-vehicle congestion control algorithms.",
keywords = "Channel Congestion Control, Connected Vehicles, DSRC, P2X, Pedestrian-to-Vehicle",
author = "Ali Rostami and Bin Cheng and Hongsheng Lu and Kenney, \{John B.\} and Marco Gruteser",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Vehicular Networking Conference, VNC 2019 ; Conference date: 04-12-2019 Through 06-12-2019",
year = "2019",
month = dec,
doi = "10.1109/VNC48660.2019.9062779",
language = "English (US)",
series = "IEEE Vehicular Networking Conference, VNC",
publisher = "IEEE Computer Society",
editor = "Danijela Cabric and Onur Altintas and Tim Leinmueller and Hongwei Zhang and Takamasa Higuchi",
booktitle = "2019 IEEE Vehicular Networking Conference, VNC 2019",
address = "United States",
}