A mobility-adaptive information reduction scheme for vehicle safety communications on highways

Efficiently propagating adequate and effective traffic information to drivers helps to increase driving safety and improves traffic conditions on highways. To achieve this, we designed a mobility-adaptive information reduction scheme (MAIR scheme) which creates a mobility-adaptive cluster to represent local traffic information and makes use of the assembly procedure to derive traffic information. The purpose of the scheme is to simplify individual high-speed movements and reduce the large number of information broadcasts. In the simulation, network performance was compared with another clustering protocol by a metric of effective propagation rate under two different traffic scenarios. The simulation proves that our solution is an efficient multi-source and multi-hop forwarding framework which allows well-connected vehicular networks to disseminate a higher degree of correct traffic information, especially for highway safety-related information.