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Localization estimation in wireless sensor networks based on IEEE 802.15.4 standard

机译:基于IEEE 802.15.4标准的无线传感器网络中的定位估计

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The development of the large scale sensor networks needs the real time localization problem to be solved with few costs. Some methods that were developed for the time synchronization such as Time of Flight measure or signal level measure such as RSSI, can be used to localize sensor nodes in the network. These methods give different results depending on the estimation processes used for computing the position of the nodes. The usefulness of the algorithm depends on many factors. This paper will focus on developing an algorithm that can give an acceptable error for the computed position while it is using less resources in a way to be implemented in the nodes themselves. The presence of the RSSI mechanism based on new parameter, called Link Quality Indicator (LQI), in the IEEE 802.15.4 devices makes WSN developer thinking about making benefits from this mechanism in the localization problem. The method developed and simulated in this paper is based on finding a small polygon enclosing a node and applying barycentric estimation. This approach can give relative errors for the localization problem while consuming less resources.
机译:大规模传感器网络的发展需要利用少量解决实时定位问题。为时间同步开发的一些方法,例如飞行测量时间或信号电平测量(如RSSI)可用于本地化网络中的传感器节点。这些方法根据用于计算节点位置的估计过程给出不同的结果。算法的有用性取决于许多因素。本文将专注于开发一种算法,该算法可以给出计算位置的可接受误差,而在其在节点本身中的方式使用较少的资源。 IEEE 802.15.4设备中,基于新参数的RSSI机制的存在,称为链路质量指示器(LQI),使WSN开发人员在本地化问题中思考从该机制中获得益处。本文开发和模拟的方法是基于找到包含节点的小多边形并应用重心估计。这种方法可以在消耗更少的资源时给出定位问题的相对错误。

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