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Distributed Continuous Range-Skyline Query Monitoring Over the Internet of Mobile Things

机译:移动物联网上的分布式连续范围-天际线查询监视

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摘要

A range-skyline query (RSQ) is the combination of range query and skyline query. It is one of the practical query types in multicriteria decision services, which may include the spatial and nonspatial information as well as make the resulting information more useful than skyline search when the location is concerned. Furthermore, continuous RSQ (CRSQ) is an extension of RSQ that the system continuously reports the skyline results to a query within a given search range. This paper focuses on the RSQ and CRSQ within a specific range on Internet of Mobile Things (IoMT) applications. Many server-client approaches for CRSQ have been proposed but are sensitive to the number of moving objects. We propose an effective and noncentralized approach, distributed CRSQ process (DCRSQ process), for supporting RSQ and CRSQ in mobile environments. By considering the mobility, the proposed approach can predict the time when an object falls in the query range and ignore more irrelevant information when deriving the results, thus saving the computation overhead. The proposed approach, DCRSQ process, is analyzed on cost and validated with extensive simulated experiments. The results show that DCRSQ process outperforms the existing approaches in different scenarios and aspects.
机译:范围天际线查询(RSQ)是范围查询和天际线查询的组合。它是多准则决策服务中的一种实用查询类型,它可以包括空间和非空间信息,并且在涉及到位置时,使所得信息比天际线搜索更有用。此外,连续RSQ(CRSQ)是RSQ的扩展,系统可以连续将天际线结果报告给指定搜索范围内的查询。本文重点介绍特定范围内的移动物联网(IoMT)应用程序上的RSQ和CRSQ。已经提出了许多用于CRSQ的服务器-客户端方法,但它们对移动对象的数量敏感。我们提出了一种有效且非集中的方法,即分布式CRSQ流程(DCRSQ流程),用于在移动环境中支持RSQ和CRSQ。通过考虑移动性,所提出的方法可以预测对象落在查询范围内的时间,并在得出结果时忽略更多不相关的信息,从而节省了计算开销。所提出的方法DCRSQ过程经过成本分析,并通过大量的模拟实验进行了验证。结果表明,DCRSQ流程在不同的场景和方面都优于现有方法。

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