Mobility models for Vehicular Ad-hoc Network simulation

Vehicular mobility has some special characteristics of node mobility such as the high speed of cars, the strict constraints on nodes movement patterns, the periodicity of dense and sparse network areas, the clustering of users at intersections, or in traffic jams. These phenomena can only be captured with a limited level of realism in the simulated cars movement, and their impacts on the network performance cannot be ignored or assumed a priori, but need to be studied to guarantee the network simulation outcome to be reliable. We will study vehicular mobility models, which will describe an increasing level of detail in the vehicular movement. Also inter-vehicle communications metrics and the suitability of both existing and novel ad hoc protocols to car-to-car and car-to-road communication. One of the emerging applications that belongs to a ambient systems is to transparently and directly interconnect vehicles on roads, making an ad-hoc network that enables a variety of applications through distributed software's without the need of any fixed and dedicated infrastructure. The network as well as the embedded computers and sensors in the vehicle will be invisible to the driver, who will get the required services during his journey. Vehicular Ad-hoc Network (VANET), in which vehicles constitute the mobile nodes in the network. Most research work in VANET relies on simulations for evaluation purpose, so the key concept for VANET simulations is a real world vehicular mobility model which will ensures conclusions drawn from simulation experiments will carry through to real world deployments. In this paper we propose Random way-point model evaluate its effect in VANETs by ns-2 simulations.