A Flow Control Policy Based on the Class of Applications of the Vehicular Networks

Applications for intelligent transportation system provide mechanisms and tools geared to the aid and management of a city's transportation system. These applications are focused on driver safety, as well as on the management and control of the flow of vehicles on the roads. Thus, reducing the impact of congestion and events that may occur on the roads. Most of these applications are offered by information centers in which the vehicle needs access to the internet. In this context, the vehicles need to be connected to an escalation infrastructure in which access to the service is maximized. Therefore, the efficient use of these services is necessary that this connection is continuous. For this, a traffic mobility management mechanism is required that allows a continuous data flow, as well as a transparent access point exchange system enabling that the users do not perceive an interruption in their connection as well as a change in the access point.In this paper, we propose the development of a decision and management mechanism based on fuzzy logic that would indicate whether the vehicle should perform the change of access point or not; and determine to which access point a certain flow should migrate. This mechanism aims to minimize the number of exchanges between access points, eliminating unnecessary exchanges. For the development of this mechanism, we considered the use NS3 simulator to analyze the policy of interface selection and compare it with some related works of the literature. The results showed that the proposed mechanism reduced packet loss, resulting in a shorter delay in the delivery of information.