Querying the physical world

被引:145
作者
Bonnet, P [1 ]
Gehrke, J [1 ]
Seshadri, P [1 ]
机构
[1] Cornell Univ, Dept Comp Sci, Ithaca, NY 14853 USA
来源
IEEE PERSONAL COMMUNICATIONS | 2000年 / 7卷 / 05期
基金
美国国家科学基金会;
关键词
Acknowledgments We thank Stephane Bressan and Tobias Mayr; who helped debug earlier versions of this article; as well as the reviewers for helpful comments. This article benefited from interactions with the SensIT community. In particular; Bill Kaiser provided valuable information concerning the Sensoria WINS network. This work is sponsored by the Defense Advanced Research Projects Agency (DARPA) and Air Force Research Laboratory; Air Force Material Command; USAF; under agreement number F-30602-99-0528; by the National Science Foundation under Grant No. EIA 97-03470; by NSF Grant IIS-9812020; and by a grant from Microsoft Research to Philippe Bonnet;
D O I
10.1109/98.878531
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the next decade, millions of sensors and small-scale mobile devices will integrate processors, memory, and communication capabilities. Networks of devices will be widely deployed for monitoring applications. In these new applications, users need to query very large collections of devices in an nd hoc manner. Most existing systems rely on a centralized system for collecting device data. These systems lack flexibility because data is extracted in a predefined way. Also, they do not scale to a large number of devices because large volumes of raw data are transferred. In our new concept of a device database system, distributed query execution techniques are applied to leverage the computing capabilities of devices, and to reduce communication. In this article, we define an abstraction that allows us to represent a device network as a database and we describe how distributed query processing techniques are applied in this new context.
引用
收藏
页码:10 / 15
页数:6
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