A Novel Visual-Identification Based Forwarding Strategy for Vehicular Named Data Networking

In this paper we propose a robust and lightweight forwarding protocol in Vehicular ad hoc Named Data Networking (V-NDN). The concept of our forwarding protocol is that it adopts a visual-identification based approach where a vehicle would collect its neighbor list by camera to construct a hop-by-hop FIB-based forwarding strategy. Furthermore, due to the Face duplication on wireless environment, we add the visual information to Face to distinguish the incoming and outgoing Face that makes FIB and PIT in our design works more accurate and efficient. The result of performance evaluation focusing on the communication overhead shows that our proposal has better result in network traffic costs overall and also in Interest satisfaction ratio than that of the previous works.