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Enhancing location service scalability with HIGH-GRADE

机译:使用HIGH-GRADE增强位置服务的可伸缩性

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Location-based routing significantly reduces routing overheads in mobile ad hoc networks (MANETs) by utilizing position information of mobile nodes in forwarding decisions. A location service is therefore critical to location-based routing, the scalability of which hinges largely on the overheads of such a service. Although several location service schemes have been proposed, most of them focus only on one or two aspects of scalability in their performance evaluations, and a comprehensive comparative study is missing. We first explore the design space of location services and present a taxonomy of existing schemes. We then propose HIGH-GRADE, a new location service scheme that employs a multilevel hierarchical location server structure and a multi-grained location information organization. We develop a uniform theoretical framework to analyze HIGH-GRADE and four other existing schemes in terms of three metrics: location maintenance cost, location query cost, and storage requirement cost. We show that the design of a location service scheme involves tradeoffs among all three of these kinds of overhead. Further, in our theoretical analysis and simulation experiments, HIGH-GRADE demonstrates superior scalability, especially when a localized data traffic pattern is assumed.
机译:基于位置的路由通过在转发决策中利用移动节点的位置信息,大大减少了移动自组织网络(MANET)中的路由开销。因此,位置服务对于基于位置的路由至关重要,它的可伸缩性在很大程度上取决于此类服务的开销。尽管已经提出了几种位置服务方案,但是它们大多数在性能评估中仅关注可伸缩性的一两个方面,并且缺少全面的比较研究。我们首先探索位置服务的设计空间,并提出现有方案的分类法。然后,我们提出HIGH-GRADE,这是一种采用多层分层位置服务器结构和多粒度位置信息组织的新位置服务方案。我们开发了一个统一的理论框架,根据三个指标来分析HIGH-GRADE和其他四个现有方案:位置维护成本,位置查询成本和存储需求成本。我们表明,位置服务方案的设计涉及所有这三种开销之间的权衡。此外,在我们的理论分析和仿真实验中,HIGH-GRADE展示了卓越的可伸缩性,尤其是在假设本地化数据流量模式的情况下。

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