面向车载容迟网络的连通性建模与仿真研究.

This paper studied the network connectivity modeling for vehicle delay tolerant networking. Firstly, it assumed that the process of vehicle entry into the road obeyed the Poisson distribution and the speeds of the vehicles on the road were the normal distribution. And then, it derived the time interval distribution between two adjacent vehicles based on Poisson process. Next, it strictly derived the connective probability for the traveling vehicles on a road. In order to verify the correctness and validity of the two hypotheses and the proposed network connectivity model, it chose the traffic data in the period of 7: 30 am to 8: 30 am for the medium city Luxembourg in European as the experimental scenario. After that, it implemented the simulation on the urban traffic simulation platform(simulation of urban mobility, SUMO). In the simulation experiment, it simulated the probability distribution of vehicle speed, the arrival rate of vehicles, and the average number of vehicles in the road and the probability of network connectivity. The experimental results show that the calculated values of the theoretical model are consistent with the simulation results. Hence, this paper proves that the two hypotheses and the proposed networks connectivity model are reasonable and correct. [ABSTRACT FROM AUTHOR]