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Data management and retrieval for wireless data broadcast systems.

机译:无线数据广播系统的数据管理和检索。

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摘要

Wireless data broadcast has many advantages, which makes it suitable for distributing public information to a large number of mobile clients. There are many mobile services in which clients need to download multiple data items per request. In the first part of this thesis, we focus on investigating the complexity and approximation algorithms for the data retrieval problem in a multi-channel data broadcast environment. We formally define the minimum cost data retrieval (MCDR) problem which aims at downloading a set of data items from multiple channels with minimum cost. We further define the minimum switching data retrieval (MSDR) problem which concerns only the number of channel switchings, and the largest number data retrieval (LNDR) problem with the objective of downloading the largest number of requested data items in a given time duration. All these problems are proven to be NP-hard. We present an O(logn)-factor approximation for MSDR, which can be extended to solve MCDR. We also propose two 1/2-approximation algorithms for LNDR. For a special case of LNDR, we provide an optimal solution based on dynamic programming. With the advance of the fourth-generation wireless communication system, mobile devices may embed MIMO antennae to setup multi-connections to a base station. We extend the retrieval scheduling problem to a more complicated parallel retrieval scheduling problem in the second part. We also propose two greedy heuristics named Least Switch Data Retrieval Protocol and Best First Data Retrieval Protocol as its solutions. To the best of our knowledge, this is the first work to deal with data retrieval with MIMO antennae for wireless data broadcast.;The last part of this thesis discusses how to apply full-text search to documents transmitted through wireless communications. We propose a novel data streaming scheme (Basic-Hash) with hash-based indexing and inverted list techniques to facilitate energy and latency efficient full-text search in wireless data broadcast. We further extend the proposed scheme by merging the hashed word indices in order to reduce the total access latency (Merged- Hash). The performances of Basic-Hash and Merged-Hash are validated both theoretically and empirically.
机译:无线数据广播具有许多优点,这使其适合于将公共信息分发给大量的移动客户端。客户需要在许多移动服务中为每个请求下载多个数据项。在本文的第一部分中,我们着重研究多通道数据广播环境中数据检索问题的复杂度和近似算法。我们正式定义了最低成本数据检索(MCDR)问题,该问题旨在以最低成本从多个渠道下载一组数据项。我们进一步定义了最小交换数据检索(MSDR)问题,该问题仅涉及信道交换次数,而最大数据检索(LNDR)问题的目的是在给定的持续时间内下载最大数量的请求数据项。所有这些问题都被证明是NP难题的。我们提出了MSDR的O(logn)因子近似值,可以将其扩展为求解MCDR。我们还为LNDR提出了两种1/2近似算法。对于LNDR的特殊情况,我们提供基于动态编程的最佳解决方案。随着第四代无线通信系统的发展,移动设备可以嵌入MIMO天线以建立与基站的多连接。在第二部分中,我们将检索调度问题扩展到更复杂的并行检索调度问题。我们还提出了两个贪婪的启发式方法,分别称为“最小交换数据检索协议”和“最佳第一数据检索协议”。据我们所知,这是处理使用MIMO天线进行无线数据广播的数据检索的第一项工作。本文的最后一部分讨论了如何对通过无线通信传输的文档应用全文搜索。我们提出了一种新颖的数据流传输方案(基本哈希),具有基于哈希的索引和倒排列表技术,以促进无线数据广播中能源和延迟高效的全文本搜索。我们通过合并散列字索引来进一步扩展提出的方案,以减少总访问延迟(Merged-Hash)。理论上和经验上都验证了Basic-Hash和Merged-Hash的性能。

著录项

  • 作者

    Shi, Yan.;

  • 作者单位

    The University of Texas at Dallas.;

  • 授予单位 The University of Texas at Dallas.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 109 p.
  • 总页数 109
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 康复医学;
  • 关键词

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