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Reliability and Survivability Analysis of Long-Term Evolution Vehicular Ad-Hoc Networks: An Analytical Approach

机译:长期演化车辆临时网络的可靠性和生存能力分析:分析方法

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In this paper we provide an abstract view of the long-term evolution vehicular ad-hoc network (LTE-V) and propose analytical models to obtain its reliability and survivability metrics. Various stochastic modeling techniques (such as semi-Markov process, reliability block diagrams, and Markov chains) are used to develop these models. Reliability of the LTE-V network is obtained through reliability block diagrams. In addition to reliability, the availability of channels should also be taken into consideration for a better performance of the network. To serve this purpose, measures such as blocking and dropping probabilities of service requests in various states of the reliability model are also obtained. A two-level hierarchical model is developed to obtain these measures in which the upper level is a reliability model that behaves as a Markov reward model and the lower level is a performance model for the availability of channels. Apart from a reliable network, a fault tolerant network is also required to satisfy the high expectations of the users. Therefore, various survivability measures for the LTE-V network are also evaluated which depict the impact of hardware failure and unavailability of channels on the performance measures. Further, the average number of service requests lost due to hardware failures is also obtained as a performance measure. To demonstrate the viability of our approach, numerical illustrations of the proposed models are presented. The numerical results are also validated via simulation.
机译:在本文中,我们提供了长期演进车辆ad-hoc网络(LTE-V)的抽象视图,并提出了分析模型,以获得其可靠性和生存性度量。使用各种随机建模技术(例如半Markov过程,可靠性框图和马尔可夫链)来开发这些模型。通过可靠性框图获得LTE-V网络的可靠性。除了可靠性之外,还应考虑频道的可用性以获得更好的网络性能。为了满足这种目的,还获得了可靠性模型各种状态的诸如服务请求的阻塞和丢弃概率等措施。开发了两级分层模型,以获得这些措施,其中上层是一种可靠性模型,其行为作为马尔可夫奖励模型,较低级别是频道可用性的性能模型。除了可靠的网络之外,还需要容错网络来满足用户的高期望。因此,还评估了LTE-V网络的各种生存能力措施,其描绘了硬件故障的影响以及通道对性能测量的不可用。此外,还获得了硬件故障导致的平均服务请求数量作为性能测量值。为了证明我们的方法的可行性,提出了所提出的模型的数值图。数值结果也通过模拟验证。

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