基于集群的Ad-hoc网络的可靠性

J. L. Cook, J. Ramírez-Márquez
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引用次数: 3

摘要

移动自组织无线网络(MAWN)是一种新兴的网络方案,正被广泛应用。MAWN不同于传统网络,它是一个自形成的动态网络。MAWN没有基础设施,因此只有移动节点组成网络。节点可以直接通信,也可以通过其他节点通信。为此,每个节点充当源、目的地和中继。MAWN的优点是它提供了灵活性,但是这种独特的特性也给可靠性分析带来了挑战。MAWN结构的可变性和波动性使得典型的可靠性方法(如可靠性框图)不合适,因为没有单一的结构或配置代表MAWN的所有表现。因此,人们正在开发新的方法来分析这种新网络技术的可靠性。新发布的方法通过概率性地处理配置或包含迁移模型来适应这一特性。本文通过修改问题的表述来扩展这些工作,利用蒙特卡罗模拟技术对基于簇的MAWN进行可靠性分析。基于集群的MAWN部署在带宽、能量等网络资源受限的应用中。本文给出了该问题的表述,讨论了适用于MAWN的可靠性指标,并通过几个实例网络的分析说明了该方法。在本文中,将描述一种新的和创新的通用MC模拟方法的使用,使从业者能够快速近似MAWN的可靠性,并理解描述MAWN的特征之间的相互作用;即节点可靠性、节点移动性和传输(集群)层的设计。这篇论文是在RAMS 2007上发表的一篇论文的后续。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability for cluster-based Ad-hoc Networks
The Mobile Ad-hoc Wireless Network (MAWN) is a new and emerging network scheme that is being employed in a variety of applications. The MAWN varies from traditional networks because it is a self-forming and dynamic network. The MAWN is free of infrastructure and as such only the mobile nodes comprise the network. Nodes communicate either directly or through other nodes. To do so each node acts as source, destination, and relay. The virtue of a MAWN is the flexibility this provides however the challenge for reliability analyses is also brought about by this unique feature. The variability and volatility of the MAWN's configuration makes typical reliability methods (e.g. reliability block diagram) inappropriate because no single structure or configuration represents all manifestations of a MAWN. For this reason, new methods are being developed to analyze the reliability of this new networking technology. New published methods adapt to this feature by treating the configuration probabilistically or by inclusion of mobility models. This paper expands upon these works by modifying the problem formulation to utilize a Monte Carlo simulation technique for the reliability analysis of a cluster-based MAWN. The cluster-based MAWN is deployed in applications with constraints or limits on the networking resources such as bandwidth and energy. This paper presents the problem's formulation, a discussion of applicable reliability metrics for the MAWN, and illustration of the method through the analysis of several example networks. Within this paper, a new and innovative use of the general MC simulation approach will be described that allows the practitioner to quickly approximate the reliability of a MAWN and understand the interactions of the characteristics that describe the MAWN; namely node reliability, node mobility, and transport (cluster) layer design. This paper is a follow on from one presented at RAMS 2007.
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