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Reducing localisation overhead: a ranging protocol and an enhanced algorithm for UWB-based WSNs

机译:减少本地化开销:基于UWB的WSN的测距协议和增强算法

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摘要

The ability for the nodes in a Wireless Sensor Network to determine their position is a desirable trait. Routing as well as other client applications can benefit from this information. In this paper, we introduce the results obtained from our UWB-based prototype. We implemented two adaptations of the Symmetric Double-Sided Two-Way Ranging (SDS- TWR) protocol, namely Sequential Symmetric Double-Sided Two- Way Ranging (SSDS-TWR), and Parallel Double-Sided Two-Way Ranging (PDS-TWR), the latter being one of our contributions. PDS-TWR significantly reduces the overhead associated with ranging. We also introduce the enhanced version of our localisation algorithm, inter-Ring Localisation Algorithm (iRingLA), which is a good alternative for conventional trilateration. This new version improves the ability to compute the position when thin rings are used by focusing on the exact intersection: the number of test points remains small and the algorithm can be implemented on computationally constrained platforms. Using PDS-TWR and 2 anchors, we obtained a 2D localisation error of 79cm in an indoor environment.
机译:无线传感器网络中的节点确定其位置的能力是理想的特性。路由以及其他客户端应用程序都可以从此信息中受益。在本文中,我们介绍了从基于UWB的原型获得的结果。我们实现了对称双向双向测距(SDS-TWR)协议的两种改编,即顺序对称双向双向测距(SSDS-TWR)和并行双向双向测距(PDS-TWR) ),后者是我们的贡献之一。 PDS-TWR大大减少了与测距相关的开销。我们还介绍了本地化算法的增强版本,环间本地化算法(iRingLA),它是常规三边测量的不错选择。这个新版本通过关注精确的相交点来提高使用细环时计算位置的能力:测试点的数量保持很小,并且该算法可以在受计算约束的平台上实现。使用PDS-TWR和2个锚点,我们在室内环境中获得了79cm的2D定位误差。

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