Comparison of Relevance Estimation Mechanisms for Cooperative Awareness Messages in VANETs

Cooperative Awareness Messages (CAMs) regularly distribute state information about vehicles in Vehicular Ad-hoc Networks (VANETs). Hardware modules in series vehicles have limited processing capabilities so that only a subset of received CAMs can be processed which may be chosen by a relevance estimation mechanism (REM). In this work, we review several REMs that differ in complexity. We compare them using various approaches in different road scenarios. The results show that more complex REMs provide similar results in simple road scenarios but clearly improved results for demanding road scenarios.