基于RSSI加权算法的室内无线传感器网络定位方法

2020 6th International Conference on Engineering, Applied Sciences and Technology (ICEAST) Pub Date : 2020-07-01 DOI:10.1109/iceast50382.2020.9165300

Jirapat Sangthong, Jutamas Thongkam, S. Promwong

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引用次数: 13

摘要

现在的一天，在无线网络中适当和正确的室内定位可以提供有趣的服务和应用。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。加权算法:基于接收信号强度指标(RSSI)，使用加权范围定位器(WRL)和相对跨度指数加权范围定位器(RS-WRL)来估计目标节点的位置。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。

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Indoor Wireless Sensor Network Localization Using RSSI Based Weighting Algorithm Method

Now a day, appropriate and correct indoor positioning in wireless networks could provide interesting services and applications. 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 weighting algorithms: the weight range localizer (WRL) and relative span exponential weight range localizer (RS-WRL) are using based on received signal strength indicator (RSSI) to estimate the position of target node. 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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来源期刊

2020 6th International Conference on Engineering, Applied Sciences and Technology (ICEAST)

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