Connectivity analysis of directed highway vehicular ad hoc networks using graph theory,International Journal of Communication Systems

当前位置： X-MOL 学术 › Int. J. Commun. Syst. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Connectivity analysis of directed highway vehicular ad hoc networks using graph theory
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2021-01-21 , DOI: 10.1002/dac.4745
Samar Elaraby ₁ , Sherif M. Abuelenin ₁

Affiliation

Graph theory is a promising approach in handling the problem of estimating the connectivity probability of vehicular ad hoc networks (VANETs). With a communication network represented as graph, graph connectivity indicators become valid for connectivity analysis of communication networks as well. In this article, we discuss two different graph‐based methods for VANETs connectivity analysis showing that they capture the same behavior as estimated using probabilistic models. The study is, then, extended to include the case of directed VANETs, resulting from the utilization of different communication ranges by different vehicles. Overall, the graph‐based methods prove a robust performance, as they can be simply diversified into scenarios that are too complex to acquire a rigid probabilistic model for them.

中文翻译：

基于图论的定向高速公路车辆自组织网络连通性分析

图论是解决汽车自组织网络（VANET）的连接概率估计问题的一种有前途的方法。使用以图形表示的通信网络，图形连接指示器也可用于通信网络的连接分析。在本文中，我们讨论了两种不同的基于图的VANET连接性分析方法，这些方法表明它们捕获的行为与使用概率模型估计的行为相同。然后，该研究扩展到包括定向VANET的情况，这是由于不同的车辆利用了不同的通信距离而导致的。总体而言，基于图的方法证明了其强大的性能，因为它们可以简单地分散到过于复杂的场景中，以至于无法为其获取严格的概率模型。

更新日期：2021-02-12

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11