Design and Implementation of a Sensor Network Based Location Determination Service for use in Home Networks

Sayed Ahmad, Mehmet Rasit Eskicioglu, P. Graham
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引用次数: 10

Abstract

Location determination is a fundamental component enabling context aware home applications. Ultrasound, floor sensors and computer vision, among others, have been proposed for location determination, each with its own benefits and limitations. In this paper we discuss the design, implementation and evaluation of a location determination system based on sensor networks. Our implementation includes three components: the location determination system which adapts and extends Motetrack for in-home use, a location storage system, and a middleware interface to allow home applications to access both current and historical location information. Our system uses Crossbow Mica2 and Mica2Dot sensors to provide 28th, 50th, 85th and 97th percentile location errors of under 1,1.5,2 and 3 meters, respectively. This will support most home services which typically require only "room level" accuracy. Using sensor nodes in our location determination scheme provides a low cost solution and eliminates dependence on the availability of existing, in-home equipment to perform the location determination computations
基于传感器网络的家庭网络定位服务的设计与实现
位置确定是支持上下文感知的家庭应用程序的基本组件。超声波、地板传感器和计算机视觉等都被提议用于定位,每一种都有自己的优点和局限性。本文讨论了一种基于传感器网络的定位系统的设计、实现和评价。我们的实现包括三个组件:位置确定系统,它适应并扩展了Motetrack用于家庭使用,位置存储系统,以及允许家庭应用程序访问当前和历史位置信息的中间件接口。我们的系统使用Crossbow Mica2和Mica2Dot传感器,分别提供1,1.5,2,3 m以下的第28,第50,第85和第97百分位的定位误差。这将支持大多数通常只需要“房间级”精度的家庭服务。在我们的位置确定方案中使用传感器节点提供了一种低成本的解决方案,并且消除了对现有家用设备可用性的依赖来执行位置确定计算
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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