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

Lien Wu Chen*, Yu Hao Peng, Yu-Chee Tseng

*Corresponding author for this work

Research output: Contribution to journalArticle

42 Scopus citations


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.

Original languageEnglish
Article number5701755
Pages (from-to)358-360
Number of pages3
JournalIEEE Communications Letters
Issue number3
StatePublished - 1 Mar 2011


  • Collision prevention
  • IEEE 802.11p
  • traffic safety
  • vehicular sensor network

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