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An Infrastructure-less Framework for Preventing Rear-End Collisions by Vehicular Sensor Networks

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3 Author(s)
Lien-Wu Chen ; Department of Computer Science, National Chiao-Tung University, Hsin-Chu, 300, Taiwan ; Yu-Hao Peng ; Yu-Chee Tseng

We consider vehicular sensor networks (VSNs) consisting of a large number of sensor nodes deployed on vehicles to facilitate vehicular applications. We try to apply such VSNs to preventing rear-end collisions that are common accidents due to sharp stops. An infrastructure-less framework is proposed, which only relies on vehicles' onboard sensors to prevent such accidents. The proposed framework consists of a distributed warning protocol and a location-based backoff scheme. Vehicle-to-vehicle communications is used to form warning groups, where a warning group is a set of vehicles that drive along the same lane and every pair of adjacent cars is within a certain distance. Only single-hop transmissions are needed to join and leave a group, thus keeping the group maintenance overhead low. When a sudden brake event is detected in a warning group, the location-based backoff scheme can quickly propagate warning messages among its group members. Simulation results show that the proposed approach outperforms existing schemes.

Published in:

IEEE Communications Letters  (Volume:15 ,  Issue: 3 )