Study of connectivity probability based on cluster in vehicular Ad Hoc networks

To provide a more practical analysis for performance of the VANETs (vehicular ad hoc networks), we propose a novel analysis model based on clustering. Because of the low-density deployment of the vehicles which equipped with VANET, and the effect of vehicular mobility, in the real traffic scenario, moving vehicles are divided into clusters. The proposed analysis model takes full account of the vehicles mobility and the loss of channel, then, makes contract with the classical system model, i.e., unit disk model and log-normal shadowing model. The connectivity probability of the model is studied based on cluster in two process: forwarding process and catch-up process, the two process are discussed in time slots of equal length. In this paper, some factors are also considered, such as follows: vehicle density, one hop transmission range, propagation distance, distribution of vehicles, and minimum safety distance between vehicles. The simulations validate the performance of our analytical model.