基于RSSI加权算法的近距离无线通信室内无线传感器网络定位方法

Jutamas Thongkam, P. Supanakoon, S. Promwong
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引用次数: 4

摘要

目前,无线传感器网络在近距离无线通信中,特别是在室内定位中具有重要的作用。然而,室内环境因素较多,导致定位精度降低,距离误差增大。本文提出了一种评价无线传感器网络(WSN)室内定位技术的新方法。提出的方法是利用接收信号强度指标(RSSI)来计算基于加权算法的距离误差。在此基础上提出了权重范围定位器(WRL)和相对跨度指数权重范围定位器(RS-WRL)。结果表明,累积分布函数(CDF)概率较好地反映了距离误差,有助于提高基于距离的定位方法在室内环境中的应用精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indoor Wireless Sensor Network Localization Using RSSI Based Weighting Algorithm Method for Short Range Wireless Communication
Currently, wireless sensor network has important in the role of the short-range wireless communication, especially in, an indoor localization. However, there are more factors of the indoor environment caused to reduce the precise localization and also increase the error of distance. This paper presents a new method to evaluate the wireless sensor network (WSN) technology for the indoor localization. The proposed methods are using received signal strength indicator (RSSI) to compute the error of distance based on weighting algorithms. Whereby the weight range localizer (WRL) and relative span exponential weight range localizer (RS-WRL) is proposed in this paper. As the results, the cumulative distribution function (CDF) probability indicates the error of distance as properly, and this method can help to increase the precision of range based localization method in an application of indoor environment.
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