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An Anchor-Free Localization Scheme with Kalman Filtering in ZigBee Sensor Network

机译:ZigBee传感器网络中具有卡尔曼滤波的无锚定位方案

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A localization scheme for wireless sensor networks is proposed and its performances are investigated in this paper. The proposed scheme is an anchor-free scheme, in which no geometrical information of sensor nodes is required for their localization. Thus, only local interaction among sensor nodes is used to estimate their locations. This scheme employs the link quality indicator and hop count between sensor nodes for location estimation. A weighted averaging and Kalman filtering schemes are incorporated in order to reduce the effects of the measurement errors in the obtained values of the link quality indicator. We performed experiments by implementing the proposed scheme on ZigBee sensor modules. The results of our experiments indicate that estimation could be successfully performed for networks comprising four sensor nodes.
机译:提出了一种无线传感器网络定位方案,并对其性能进行了研究。所提出的方案是无锚方案,其中传感器节点的定位不需要任何几何信息。因此,仅传感器节点之间的局部相互作用被用于估计它们的位置。该方案利用链路质量指示符和传感器节点之间的跳数进行位置估计。为了减少链路质量指示符的获得值中的测量误差的影响,结合了加权平均和卡尔曼滤波方案。我们通过在ZigBee传感器模块上实施建议的方案进行了实验。我们的实验结果表明,可以成功地对包含四个传感器节点的网络执行估计。

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