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Transient Analysis of Idle Time in VANETs Using Markov-Reward Models

机译:Markov-right模型的VANET中空闲时间的瞬态分析

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摘要

The development of analytical models to analyze the behavior of vehicular ad hoc networks (VANETs) is a challenging aim. Adaptive methods are suitable for many algorithms (e.g., choice of forwarding paths, dynamic resource allocation, channel control congestion) and services (e.g., provision of multimedia services, message dissemination). These adaptive algorithms help the network to maintain a desired performance level. However, this is a difficult goal to achieve, especially in VANETs due to fast position changes of the VANET nodes. Adaptive decisions should be taken according to the current conditions of the VANET. Therefore, evaluation of transient measures is required for the characterization of VANETs. In the literature, different works address the characterization and measurement of the idle (or busy) time to be used in different proposals to attain a more efficient usage of wireless network. This paper focuses on the idle time of the link between two VANET nodes, which we denote as Tidle. Specifically, we have developed an analytical model based on a straightforward Markov reward chain to obtain transient measurements of Tidle. Numerical results from the analytical model fit well with simulation results.
机译:分析模型的开发分析车辆临时网络(VANET)的行为是一个具有挑战性的目标。自适应方法适用于许多算法(例如,转发路径,动态资源分配,信道控制拥塞)和服务(例如,提供多媒体服务,消息传播)。这些自适应算法有助于网络保持所需的性能水平。然而,这是实现的难以实现的目标,特别是在VANET引起的凡人的位置变化。应根据VANET的当前条件采取适应性决策。因此,需要评估瞬态措施来表征Vanets。在文献中,不同的作品解决了在不同建议中使用的空闲(或忙碌)时间的表征和测量,以获得更有效地使用无线网络。本文重点介绍了两个Vanet节点之间的链接的空闲时间,我们表示为潮汐。具体而言,我们已经开发了一种基于直接的马尔可夫奖励链的分析模型,以获得瞬态测量的潮流。分析模型的数值结果与仿真结果相适合。

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