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Grid-Based Geoprocessing for Integrated Global Navigation Satellite System Simulation

机译:集成全球导航卫星系统仿真的基于网格的地理处理

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摘要

It is anticipated that the integration of global navigation satellite systems (GNSS) will improve the overall positioning performance benefiting many existing applications and paving the way for the emergence of new location-based or location-aware applications. However, such integrations of GNSSs (iGNSS) will also require the development of a new generation of receivers and methodologies that can utilize the new information efficiently and effectively. This is especially true for real-time applications, such as navigation, for which time performance is of the essence in providing highly accurate positioning solutions. In this paper, we address time performance of iGNSS by focusing only on the visibility parameter, among all parameters, because the visibility solution is a prerequisite for the other parameters, and it is very expensive computationally. We propose an efficient web service for visibility computation, called iGNSS-v and discuss our experimentation with a grid computing platform. The results of the experiment indicate that grids can potentially benefit iGNSS by improving the time performances of its various components, but further optimization is needed in order to address the real-time requirement of iGNSS-QoS prediction.
机译:预计全球导航卫星系统(GNSS)的集成将改善整体定位性能,使许多现有应用受益,并为新的基于位置或位置感知的应用的出现铺平道路。但是,GNSS(iGNSS)的这种集成还需要开发新一代的接收器和方法,以能够有效地利用新信息。这对于实时应用(例如导航)尤其如此,因为时间性能对于提供高度精确的定位解决方案至关重要。在本文中,我们通过仅关注可见性参数来解决iGNSS的时间性能问题,因为可见性解决方案是其他参数的先决条件,并且计算量非常大。我们提出了一种用于可见性计算的高效Web服务,称为iGNSS-v,并讨论了我们在网格计算平台上进行的实验。实验结果表明,网格可以通过改善其各种组件的时间性能而使iGNSS受益,但是还需要进一步优化,以解决iGNSS-QoS预测的实时性。

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