Neighbor-Decoding-Based Data Propagation in Vehicular Networks

摘要

In vehicular ad hoc networks, vehicular nodes take the responsibility of data collection and exchange for smart transportation services. When an emergency occurs, such as traffic accident, how to propagate the alert message to relevant vehicles efficiently and quickly, is still an open problem. In this paper, a neighbor-decoding-based data propagation scheme is proposed, called NED. It utilizes network coding to improve the quality of data transmissions. Considering the options among raw blocks and encoded blocks, the sender selects the one to send, which has the highest decoding capability of neighbors. This selection guarantees a relatively large number of decoded blocks at neighbors after they receive this block. Experiments using real trajectory data show that NED has a high block decoding rate and a high packet coverage rate while keeping similar dissemination delay.