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An infrastructure-less framework for preventing rear-end collisions by vehicular sensor networks [J

By Lien-wu Chen, Yu-hao Peng and Yu-chee Tseng


Abstract—We consider vehicular sensor networks (VSNs) con-sisting 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. Index Terms—Collision prevention, IEEE 802.11p, traffic safety, vehicular sensor network

Year: 2016
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