Vehicle-to-vehicle safety messaging in DSRC
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
XORs in the air: practical wireless network coding
IEEE/ACM Transactions on Networking (TON)
Optimal data rate selection for vehicle safety communications
Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking
Piggyback cooperative repetition for reliable broadcasting of safety messages in VANETs
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Index coded repetition-based MAC in vehicular ad-hoc networks
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Repetition-based cooperative broadcasting for vehicular ad-hoc networks
Computer Communications
Space-division repetition-based broadcasting protocol for reliable beaconing in VANETs
Proceedings of the 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
C2-CODER: coverage-controlled network CODEd repetition for vehicular ad-hoc networks
Proceedings of the 2013 Research in Adaptive and Convergent Systems
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Safety messaging plays an important role in Vehicle-to Vehicle (V2V) communications. By broadcasting packets via an 802.11 based technology, each vehicle informs the neighbors with its real-time status. Since this kind of information is life-critical, it should be received by all the adjacent vehicles with very high probability. In the previous work, we proposed a coded cooperative repetition approach for reliably broadcasting safety message in VANETs. It improves message's reception rate by repeating the received messages and share the scarce wireless bandwidth by coding two repetitions together. However, this method also introduces overheads. Almost 40% of all received coded repetitions are useless due to suboptimal coding decisions. In this paper, we improve this coded repetition method by providing it with more accurate information to guide the coding process. This enhancement incorporates three main techniques: reception rate estimation, neighbor state collection and opportunistic coding. Our experiments show a significant performance improvement. The overhead is reduced from over 40% to around 10% and the reception rate is increased by 15%.