Optimized Dynamic Multicast Grouping for Content-Based Routing in Vehicular P2P Environments

Emerging vehicular applications and its efficient dissemination is still a research challenge due to highly dynamic nature of these networks. Nevertheless, asynchronous communication can support such unique characteristic. The proposed approach in this paper combines publish/subscribe semantics with multicast routing to develop a dissemination framework for vehicular networks. The method aggregates content-based subscriptions in the form of a compact data format using Binary Decision Diagram and extends Spatio-temporal Multicast Routing Protocol to create a dynamic dissemination mesh. It optimizes routing using advertisements semantic to enhance the scalability of the framework. Similar subscriptions are grouped using clustering to form multicast groups. The framework has been evaluated in terms of the delivery ratio and network overhead metrics in different networking conditions. The performance of the proposed approach is also compared with subscription semantics based routing. The results show that advertisement based optimization shows considerable increase in scalability when compared to the use of subscriptions semantics.