Spatio-temporal multicast grouping for content-based routing in vehicular networks: A distributed approach

Abstract

Efficient dissemination of vehicular network applications is still a challenging objective in the area of research. Their unique characteristics impose difficulties in proposing a framework to solve the dissemination related problems. Event broker middleware provides asynchronous communication and extensive messaging in heterogeneous environments. This can be integrated with multicast routing in vehicular networks for efficient dissemination. Proposed approach aggregates content-based subscriptions in a compact data format using Binary Decision Diagram and applies Spatio-temporal Multicast Routing Protocol to extend this context from the middleware-tier to construct an optimized dynamic dissemination mesh. The dynamic multicast group is created by aggregating subscriptions, applying clustering. This work has compared the performance of K-Means and hierarchical clustering methods for clustering subscriptions to form multicast groups. Cooperation between middleware-tier and network components allows to represent fine-grained subscriptions. Simulation results support the efficiency of the proposed approach.