文章基本信息

标题：AN ADAPTIVE LOCATION DATA MANAGEMENT STRATEGY
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作者：Dong-Suk Hong ; Dong-Oh Kim ; Jae-Kwan Yun 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2005
卷号：XXXVI-2/W25
出版社：Copernicus Publications
摘要：Recently, a location based system(or middleware) is usually based on the distributed architecture to manage a large-volume of location data efficiently and supports a variety of spatio-temporal queries. Especially, in the ubiquitous computing environment, location data is generally considered to be an important context which changes continuously. Despite some works on an adaptive query or adaptive data filtering engine, most ubiquitous computing systems typically manage location data in a non-adaptive or non-scalable manner.In this paper, we propose an adaptive location data management strategy in order to support adaptivity and scalability of the location based system using a variety of contexts which can be accessed in the ubiquitous computing environment. The proposed strategy enables the location based system to address problems related to heterogeneity and enormousness of location sensors or clients, enormousness of location data, and multiplicity of location queries based on a variety of context data including location, time and so on. Therefore, the location based system can be adapted to any environment, and the ubiquitous computing system can efficiently process location queries.
关键词：Location Based System; Ubiquitous Computing; Context-Aware; Adaptive Management; Heterogeneous Location Sensors; Spatio-Temporal Query