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An Efficient Partition and Matching Algorithm for Query-Set-based Broadcasting in Multiple Channel Mobile Environment

机译:多信道移动环境中基于查询集的广播的高效分区和匹配算法

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摘要

Broadcast is an efficient and scalable method for resolving the bandwidth limitation in a wireless environment. In many applications, mobile clients might need more than one data item. However, most previous researches on query-set-based broadcasting are restricted to a single broadcast channel environment. The results are limited applicability to the upcoming mobile environments. In this paper, we relax this restriction and explore the problem of query-set-based broadcasting in multiple broadcast channels. In multi-channel query-set-based broadcasting, we discover data collision (two data items in the same query set are arranged on two channels at the same time slot) is an important factor to affect users' access time. In this paper, we introduce the new data collision problem motivated by multi-channel query-set-based broadcasting environment. We then present a two-stage scheme of data partitioning and data matching to solve the new data collision problem. Experiments are performed to justify the benefit of our approach
机译:广播是解决无线环境中带宽限制的一种有效且可扩展的方法。在许多应用程序中,移动客户端可能需要多个数据项。但是,有关基于查询集的广播的大多数先前研究仅限于单个广播信道环境。结果是有限的适用于即将到来的移动环境。在本文中,我们放宽了此限制,并探讨了在多个广播频道中基于查询集的广播问题。在基于多通道查询集的广播中,我们发现数据冲突(同一查询集中的两个数据项在同一时隙排列在两个通道上)是影响用户访问时间的重要因素。在本文中,我们介绍了基于多通道查询集的广播环境所引发的新数据冲突问题。然后,我们提出了数据划分和数据匹配的两阶段方案,以解决新的数据冲突问题。进行实验以证明我们方法的益处

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