文章基本信息

标题：Combining Kalman Filtering with ZigBee Protocol to Improve Localization in Wireless Sensor Network
本地全文：下载
作者：Bouchra El Madani ; Anne Paule Yao ; Abdelouahid Lyhyaoui 等
期刊名称：ISRN Sensor Networks
电子版ISSN：2090-7745
出版年度：2013
卷号：2013
DOI：10.1155/2013/252056
出版社：Hindawi Publishing Corporation
摘要：We propose a low-cost and low-power-consumption localization scheme for ZigBee-based wireless sensor networks (WSNs). Our design is based on the link quality indicator (LQI)—a standard feature of the ZigBee protocol—for ranging and the ratiometric vector iteration (RVI)—a light-weight distributed algorithm—modified to work with LQI measurements. To improve performance and quality of this system, we propose three main ideas: a cooperative approach, a coefficient delta () to regulate the speed of convergence of the algorithm, and finally the filtering process with the extended Kalman filter. The results of experiment simulations show acceptable localization performance and illustrate the accuracy of this method.