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A probabilistic framework for entire WSN localization using a mobile robot

机译:使用移动机器人进行整个WSN本地化的概率框架

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This paper presents a new method for the localization of a Wireless Sensor Network (WSN) by means of collaboration with a robot within a Network Robot System (NRS). The method employs the signal strength as input, and has two steps: an initial estimation of the position of the nodes is obtained centrally by one robot and is based on particle filtering. It does not require any prior information about the position of the nodes. In the second stage, the nodes refine their position estimates employing a decentralized information filter. The paper shows how the method is able to recover the 3D position of the nodes, and is very suitable for WSN outdoor applications. The paper includes several implementation aspects and experimental results.
机译:本文提出了一种通过与网络机器人系统(NRS)中的机器人协作来定位无线传感器网络(WSN)的新方法。该方法采用信号强度作为输入,并包括两个步骤:由一个机器人集中获取节点位置的初始估计,并基于粒子滤波。它不需要有关节点位置的任何先验信息。在第二阶段,节点使用分散信息过滤器完善其位置估计。本文展示了该方法如何能够恢复节点的3D位置,并且非常适合WSN户外应用。本文包括几个实施方面和实验结果。

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