Meet-fog for accurate distribution of negative messages in VANET

Abstract

Negative messages, such as CRL (Certificate Revocation List), describe negative attributes of objects in VANET (Vehicular Ad hoc Network), so accurately distributing negative messages is an essential task to make VANET secure. We had proposed a scheme based on Meet-Table and Cloud Computing to realize it. In this paper, we propose Meet-Fog, a scheme based on Meet-Table and Fog Computing, to distribute negative messages in VANET with more efficiency, for Fog Computing can be used to optimize computing, communication and storage between edge and cloud. The architecture and formal model of Meet-Fog are given, and related algorithms are described in detail. The analysis results show that Meet-Fog is a good scheme for negative message distribution as it has high coverage percentage and high accurate coverage percentage at the same time. Meet-Fog can also sharply reduce bandwidth and storage requirements of cloud, and completely move computing requirements from cloud to the edge.