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机构地区:[1]广州大学机械与电气工程学院,广东广州510006 [2]广州大学计算机科学与教育软件学院,广东广州510006
出 处:《计算机仿真》2014年第4期196-200,共5页Computer Simulation
基 金:国家自然科学基金:基于免疫的动态实时网络异常检测模型研究(61100150)
摘 要:针对车载网VANETs(Vehicular ad hoc networks)车辆通信链路的连接问题,分析了链路连接模型。现有的多跳连接的研究都是假设链路是独立的、相同分布的,并没有考虑连续链路间的非独立性。为此,提出了基于非独立的链路的多跳连接概率模型。通过车辆间的相对距离,并结合车辆移动模型,推导了车辆出现分布情况,得出多跳连接的概率。仿真数据表明,连接概率随车辆间的相对距离变化,当相对距离增加,连接概率呈下降趋势,与理论推导的结果一致。For the issue on vehicle communication link connection, the link connection model was analyzed in the paper. The majority of research concentrates on multi hop connectivity assuming that the links have independent and identical distribution as well as without taking the dependence among several consecutive links into considera tion. Therefore, the improved algorithm was proposed for multi hop connected probability that contains the depend ent correlation among consecutive links. The vehicle's appearing distribution based on the relative distance to the ref erence vehicle was derived by using the mobility model. The simulation results show that the connection probability is changing in relative distance. When the relative distance increases, the connection probability is on the decline, which incorporates the geographical distribution of all potential intermediate.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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