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Time-Dependent Performance Analysis of IEEE 802.11p Vehicular Networks

机译:IEEE 802.11p车载网络的时变性能分析

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摘要

The performance of vehicular ad hoc networks (VANETs) is subject to frequent changes due to node mobility so that nonstationary/transient network behavior always exists. In addition, safety applications in VANETs are very sensitive to the real-time performance of delay and packet delivery ratio (PDR). Although there are extensive studies on the steady-state (SS) performance analysis of vehicular networks, little work exists on evaluating their time-varying behavior. In this paper, we develop a performance model to efficiently estimate the dynamic behavior of VANETs. In this paper, vehicle's transmission queue is modeled using fluid-flow (FF)-based differential equations, which are solved using numerical methods, whereas the network hearing topology is modeled by a time-varying adjacency matrix that can be determined from stochastic models, measurements, or discrete event simulations. Numerical results illustrate that our performance model is able to promptly respond to the ongoing dynamic conditions of VANETs and provide reasonably accurate performance results.
机译:由于节点移动性,车辆自组织网络(VANET)的性能经常发生变化,因此始终存在非固定/瞬态网络行为。此外,VANET中的安全应用程序对延迟和数据包传输率(PDR)的实时性能非常敏感。尽管对车载网络的稳态(SS)性能分析进行了广泛的研究,但评估其时变行为的工作很少。在本文中,我们开发了一种性能模型来有效估计VANET的动态行为。在本文中,使用基于流体流量(FF)的微分方程对车辆的传输队列进行建模,并使用数值方法对其进行求解,而通过时变邻接矩阵对网络听力拓扑进行建模,该矩阵可以从随机模型确定,测量或离散事件模拟。数值结果表明,我们的性能模型能够及时响应VANET不断变化的动态条件,并提供合理准确的性能结果。

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