Orientation-Aware Indoor Localization Path Loss Prediction Model for Wireless Sensor Networks
Orientation-Aware Indoor Localization Path Loss Prediction Model for Wireless Sensor Networks
复制标题
无线传感器网络的方向感知室内定位路径损耗预测模型
DOI：
10.1007/978-3-540-85693-1_19
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
K. Koyanagi
中科院分区：
文献类型：
--
作者：
Marc Lihan;Takeshi Tsuchiya;K. Koyanagi
在过去的十年中，在无处不在的和室内的位置感知计算领域已经有了大量的研究和兴趣。在众多的定位算法中，指纹算法是定位精度最高的系统之一。然而，目前对用户定位的研究缺乏理论依据和认识。本文提出了一种基于Zigbee协议的太阳SPOT（小可编程对象技术）无线传感器的室内定位跟踪系统模型。实验结果表明，与传统的路径损耗模型相比，考虑了方向和衰减因素的路径损耗预测模型具有更好的位置跟踪精度。实验中还对方向感知指纹算法进行了检验，为与经验算法的比较奠定了基础。
There have been a large amount of research and interest in the area of ubiquitous and indoor location aware computing in the past decade. Among several proposed algorithms, fingerprint algorithm stands as one of the most accurate systems for localization. However, there is a lack of theoretical basis and understanding on the orientation of the user. This paper presents a model for orientation-aware indoor location tracking system using a Zigbee based protocol wireless sensor called Sun’s SPOT (Small Programmable Object Technology). Our experiment shows better accuracy in location tracking when orientation and attenuation factors are considered for the path loss prediction model than the traditional path loss model. Orientation-aware fingerprint algorithm is also examined in our experiment to have a basis of comparison on an empirical algorithm.