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Location-Based Spatial Query Processing with Data Sharing in Wireless Broadcast Environments

机译:无线广播环境中具有数据共享的基于位置的空间查询处理

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Location-based spatial queries (LBSQs) refer to spatial queries whose answers rely on the location of the inquirer. Efficient processing of LBSQs is of critical importance with the ever-increasing deployment and use of mobile technologies. We show that LBSQs have certain unique characteristics that traditional spatial query processing in centralized databases does not address. For example, a significant challenge is presented by wireless broadcasting environments, which have excellent scalability but often exhibit high-latency database access. In this paper, we present a novel query processing technique that, while maintaining high scalability and accuracy, manages to reduce the latency considerably in answering location-based spatial queries. Our approach is based on peer-topeer sharing, which enables us to process queries without delay at a mobile host by using query results cached in its neighboring mobile peers. We demonstrate the feasibility of our approach through a probabilistic analysis, and we illustrate the appeal of our technique through extensive simulation results.
机译:基于位置的空间查询(LBSQ)是指其查询依赖于查询者位置的空间查询。随着移动技术的不断部署和使用,对LBSQ的高效处理至关重要。我们显示LBSQ具有集中数据库中传统空间查询处理无法解决的某些独特特征。例如,无线广播环境提出了一个巨大的挑战,该环境具有出色的可伸缩性,但通常表现出高等待时间的数据库访问。在本文中,我们提出了一种新颖的查询处理技术,该技术在保持高可伸缩性和准确性的同时,设法大大减少了在回答基于位置的空间查询时的等待时间。我们的方法基于对等体共享,这使我们能够通过使用缓存在其相邻移动对等体中的查询结果在移动主机上毫不延迟地处理查询。我们通过概率分析证明了我们方法的可行性,并通过广泛的仿真结果证明了我们技术的吸引力。

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