Multi-hop Connected Probability Based on Dependence among Consecutive Links in VANETs

Muchen Wu, Z. Zhong, Hao Wu, Minming Ni
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Abstract

Vehicular Ad hoc NETworks (VANETs) distinguish from traditional Mobile Ad hoc NETworks (MANETs), because VANETs are aimed at constructing wireless connection among highly dynamic vehicles. 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 consideration. The authors also obtain the distribution of multi-hop path lifetime using the similar assumption. However, when an intermediate vehicle moves to other location or leaves the road abruptly, the change can directly influence at least two consecutive links. This simultaneous change is the essential issue that our work deals with. In this paper, we make use of the mobility model to derive the vehicles' appearing distribution based on the relative distance to the reference vehicle. Besides, incorporating the geographical distribution of all potential intermediate vehicles, we propose an improved algorithm for multi-hop connected probability that contains the dependent correlation among consecutive links instead of independent link assumption. The performance of our analysis is evaluated by comparing to the simulation results.
基于VANETs中连续链路相关性的多跳连接概率
车辆自组网(vanet)不同于传统的移动自组网(manet),其目标是在高度动态的车辆之间构建无线连接。大多数的研究都集中在多跳连接上,假设链路具有独立且相同的分布,而没有考虑多个连续链路之间的依赖性。利用类似的假设也得到了多跳路径生存期的分布。但是,当中间车辆移动到其他位置或突然离开道路时,这种变化可以直接影响至少两个连续的链接。这种同时发生的变化是我们工作所涉及的根本问题。本文基于车辆与参考车辆的相对距离,利用移动性模型推导出车辆的出现分布。此外,结合所有潜在中间车辆的地理分布,我们提出了一种改进的多跳连通概率算法,该算法包含连续链路之间的相关关系,而不是独立链路假设。通过与仿真结果的比较,对分析结果进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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