Managing context data for smart spaces

被引：42

作者：

Castro, P ^{[1
]}

Muntz, R ^{[1
]}

机构：

[1] Univ Calif Los Angeles, Dept Comp Sci, Los Angeles, CA 90024 USA

来源：

IEEE PERSONAL COMMUNICATIONS | 2000年 / 7卷 / 05期

关键词：

Algorithms - Artificial intelligence - Computer simulation - Information theory - Optimization - Probability - Quality of service;

D O I：

10.1109/98.878537

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We describe our on-going efforts to construct a service infrastructure to support smart environments. We characterize "fusion services," which extract and infer useful context information from sensor data, using evidential reasoning techniques. We specify sensing services as Bayesian networks and use information theoretic algorithms to optimize the resources consumed by the rendering of a service. We define a "Quality-of-Information" metric to characterize sensing service performance. We have implemented an infrastructure for supporting a dynamic set of sensors and services in a smart space. Using this infrastructure and an IEEE 802.11 network, we implemented a probabilistic indoor location system that optimizes the number of sensors consulted when determining the location of a user while maintaining a high degree of accuracy.

引用

页码：44 / 46

页数：3