RDDF: Rating Driven Data Forwarding in Vehicular Network

Abstract

Sensory data forwarding from on-road smart vehicles to the road side units is challenging mainly due to the highly dynamic nature of the vehicular network. Road safety and traffic related applications demand reliable and fast delivery of these data packets from vehicles to the nearest RSU. We propose a novel forwarding strategy based on vehicle rating that ensures the selected next-hop forwarder would deliver the data packets with high throughput and low delay with consistency. From theoretical analysis we found that the performance can further be enhanced by dynamically tuning the parameters of vehicle rating. Extensive simulation proved significant performance benefits (up to 1.5 times better delivery ratio and 55% less delay in the best case scenario) for the proposed RDDF protocol than that of the best among existing schemes. Most importantly, unlike others, it does not require any prior topology information for taking the routing decision.