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Geometric connectivity of vehicular ad hoc networks: Analytical characterization

机译:车辆自组织网络的几何连通性:分析表征

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Advances in wireless communications are facilitating the development of inter-vehicle communication systems that will benefit mobility and safety objectives. Recently, these systems, referred as vehicular ad hoc networks (VANETs), are gaining significant prominence from both government agencies and private organizations. VANETs are characterized by high vehicle mobility, unexpected driver behavior and variable traffic environment which bring forth challenges to maintain good connectivity. This study considers VANETs as a nominal system with disturbance. Under the nominal system, the traffic space headway is assumed to follow an approved traffic flow distributions, such as exponential distribution. Disturbance is then used to capture a set of uncertain traffic flow events caused by driver behavior and changes in traffic flow. In addition, robustness factor is incorporated to present the impact of probabilistic disturbance events that disrupt the node connectivity. Under constant disturbance conditions, the lower bound of reachable neighbors for each vehicle to maintain a high connectivity is analytically derived. Furthermore, we obtain the relationship between the number of nodes in a VANET and the reachable neighbors under which the network is asymptotically connected. Finally, in variable disturbance situations, the interaction between robustness factor and macroscopic traffic parameters are investigated based on the simulation data. The validation results demonstrate that the proposed analytical characterization can approximate VANET connectivity very well. Our results facilitate the understanding of VANET connectivity on a freeway segment under different traffic conditions.
机译:无线通信的进步正在促进将有利于移动性和安全性目标的车辆间通信系统的发展。近来,这些系统被称为车载自组织网络(VANET),在政府机构和私人组织中都占有重要地位。 VANET的特点是车辆机动性高,驾驶员行为异常以及交通环境变化,这对保持良好的连接性提出了挑战。这项研究认为VANET是具有干扰的标称系统。在名义系统下,假定交通空间的前进遵循批准的交通流量分布,例如指数分布。然后使用干扰来捕获由驾驶员行为和交通流量变化引起的不确定交通事件集。此外,并入了鲁棒性因子,以表示破坏节点连接性的概率性干扰事件的影响。在恒定干扰条件下,通过分析得出了每辆车可保持的高连通性的下界。此外,我们获得了VANET中的节点数与渐近连接网络的可达邻居之间的关系。最后,在可变扰动情况下,基于仿真数据研究了鲁棒性因子与宏观交通参数之间的相互作用。验证结果表明,所提出的分析特性可以很好地近似VANET连接。我们的结果有助于理解在不同交通状况下高速公路网段上的VANET连接。

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