位置感知计算策略的文献综述:移动环境下的分类与实证分析

IF 0.2 Q4 COMPUTER SCIENCE, CYBERNETICS
Ajay K. Gupta, Udai Shanker
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引用次数: 4

摘要

由于移动环境中频繁的断开连接,位置感知计算系统的实现面临着保持其一致性的挑战。与该领域相关的许多其他令人兴奋的问题为许多移动数据库研究人员提供了解决问题的沃土。这项工作的贡献是采用当前位置感知移动数据管理实践的最新文献。这篇论文包含了缓存、地图匹配和使用时空查询的位置隐私保护的分类,这与其他综述论文不同,它们只涉及与位置相关的数据管理的特定方面。首先,对最新的和分类的文献进行深入分析,考虑到应用模型和评估方法的领域。其次,它对文献中可用的位置感知计算方法进行了理论和分析研究,检查了每种方法的优缺点以及它们之间的演变过程。最后,文章指出了未来研究的突出机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Literature Review of Location-Aware Computing Policies: Taxonomy and Empirical Analysis in Mobile Environment
Location-aware computing systems implementation has the challenge of maintaining its consistency due to frequent disconnections in the mobile environment. Many other exciting issues associated with this domain provide a fertile ground for many mobile database researchers to tackle. This work contributes by taking up-to-date literature on current location-aware mobile data management practices. The paper includes taxonomy for caching, map-matching, and location privacy protection with spatial-temporal queries, unlike other review papers, which only address a specific aspect of location-dependent data management. First, an in-depth analysis of state-of-the-art and classified literature is presented, taking into account the domain of application models and approaches for evaluation. Secondly, it provides a theoretical and analytical investigation of location-conscious computing approaches available in the literature, examining the merit and demerit of each method and the evolving processes between them. Finally, the paper highlighted the outstanding opportunities for future research directions.
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来源期刊
CiteScore
4.70
自引率
0.00%
发文量
5
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