Exploiting Environmental Properties for Wireless Localization and Location Aware Applications

被引：6

作者：

Chen, Shu ^{[1
]}

Chen, Yingying ^{[2
]}

Trappe, Wade ^{[1
]}

机构：

[1] Rutgers State Univ, Wireless Informat Network Lab, N Brunswick, NJ 08902 USA

[2] Stevens Inst Technol, Dept Elect & Comp Engn, Hoboken, NJ 07030 USA

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS | 2008年

关键词：

D O I：

10.1109/PERCOM.2008.65

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Wireless sensor networks monitor phenomena that vary over the spatial region the sensor network covers. The sensor readings may also be dual-used for additional purposes. In this paper we propose to use the inherent spatial variability in physical phenomena to support localization and position verification. We first present the problem of localization using general spatial information fields, and then propose a theory for exploiting this spatial variability for localization. Our Spatio-Correlation Weighting Mechanism (SCWM) uses spatial relationships of measured physical phenomena to determine an appropriate subset of environmental parameters for better location accuracy. We next present the Flex - EP algorithm, which supports our theoretical model for performing localization. Finally, we provide an experimental evaluation of our approach by using a collection of physical phenomena measured across one hundred locations inside a building. Our results provide strong evidence of the viability of using general sensor readings for location applications.

引用

页码：90 / +

页数：2

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