Algebraic data retrieval algorithms for multi-channel wireless data broadcast

被引:2
|
作者
Gao, Xiaofeng [1 ]
Lu, Zaixin [2 ]
Wu, Weili [2 ]
Fu, Bin [3 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Comp Sci, Shanghai 200030, Peoples R China
[2] Univ Texas Dallas, Dept Comp Sci, Richardson, TX 75083 USA
[3] Univ Texas Pan Amer, Dept Comp Sci, Edinburg, TX 78541 USA
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Data broadcast; Data retrieval; Algebraic algorithm; Mobile computing; MULTIPLE CHANNELS; INDEXING SCHEME; DATA ALLOCATION; DEPENDENT DATA; REPLICATION; EFFICIENT; QUERIES;
D O I
10.1016/j.tcs.2011.12.070
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Wireless data broadcast is an important data dissemination method for distributing public information to mobile users. Due to the exponentially increasing number of mobile network users, it is necessary to develop efficient data retrieval protocols for end users to download data items effectively. In this paper, we concentrate on investigating scheduling algorithms for retrieving a set of data items from a multichannel wireless data broadcast system. As we know, the most important issues in mobile computing are energy efficiency and query response efficiency. However, in data broadcast the objectives of reducing access latency and energy cost can be contradictive to each other. Consequently, we define a new problem named Minimum Constraint Data Retrieval Problem (MCDR). We prove that MCDR is NP-hard, and then show a fixed parameter tractable algorithm which can balance two factors together. It has computational time O(2(k)(hnt)O-(1)), where n is the number of channels, k is the number of required data items, t is the maximal time slot, and h is the maximal number of channel switches. (C) 2012 Elsevier B.V. All rights reserved.
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页码:123 / 130
页数:8
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