Vehicular network self-organizing architectures

Nowadays, Vehicle Communication (VC) represents an interesting item for research and industry communities since it brings an efficient way to improve the transport quality. Nevertheless, VC faces a number of new challenges, in particular due to the extremely dynamic network topology and the large variable number of mobile nodes. To overcome these problems an effective solution is to define a self-healing and robust self-organizing architecture that facilitates the network management task and permits to deploy a wide panoply of services. Depending on the application deployed on the top of the vehicular network, it may require either a proactive or a reactive self-organization architecture. In this paper, we introduce CSP and CGP, which are respectively proactive and reactive cluster-based self-organizing protocols. The two solutions are cross layer and they structure intelligently the vehicular network in permanent manner by portioning roads into adjacent segments seen as geographic fix clusters. When the proactive solution, CSP, can be used for security issues or to provide a large panoply of services, the reactive solution, CGP, is mainly used to perform data collection and aggregation. In our work, we analyze the performances of both CSP and CGP using a simulation environment and realistic mobility models. We compare them to existing solutions and show that they permit performance improvement.