面向车载容迟网络的连通性建模与仿真研究

Research on connectivity modeling and simulation for vehicle delay tolerant networks

针对车载容迟网络连通性建模进行了研究。假设车辆驶入道路的过程服从泊松分布,以及车辆在道路上的行驶速度服从正态分布。对基于泊松过程的车间时距分布进行推导,并以此导出行驶车辆在道路上的连通概率。为了验证所提假设和连通模型的正确性及有效性,以欧洲城市卢森堡在7:30 am～8:30 am时间段内的交通数据为实验场景,在城市交通仿真平台(simulation of urban mobility,SUMO)对车辆速度的概率分布、车辆到达率、道路中的平均车辆数及网络连通概率进行了理论计算和仿真实验分析。实验结果表明理论模型的计算值和仿真结果是一致的,所提出的假设和连通模型具有合理性和正确性。

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 of7: 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.