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Sequence-Based Localization in Wireless Sensor Networks

机译:无线传感器网络中基于序列的本地化

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摘要

We introduce a novel sequence-based localization technique for wireless sensor networks. We show that the localization space can be divided into distinct regions that can each be uniquely identified by sequences that represent the ranking of distances from the reference nodes to that region. For n reference nodes in the localization space, combinatorially, O(n{n}) sequences are possible, but we show that, due to geometric constraints, the actual number of feasible location sequences is much lower: only O(n{4}). Using these location sequences, we develop a localization technique that is robust to random errors due to the multipath and shadowing effects of wireless channels. Through extensive systematic simulations and a representative set of real mote experiments, we show that our lightweight localization technique provides comparable or better accuracy than other state-of-the-art radio signal strength-based localization techniques over a range of wireless channel and node deployment conditions.
机译:我们介绍了一种新颖的基于序列的无线传感器网络定位技术。我们表明,定位空间可以划分为不同的区域,每个区域可以由表示从参考节点到该区域的距离的排名的序列唯一地标识。对于定位空间中的n个参考节点,从组合上讲,O(n {n})序列是可能的,但是我们证明,由于几何约束,可行位置序列的实际数量要少得多:只有O(n {4} )。使用这些定位序列,我们开发了一种本地化技术,该技术对由于无线通道的多径和阴影效应而导致的随机错误具有鲁棒性。通过广泛的系统仿真和一组代表性的实际微粒实验,我们证明,在一系列无线信道和节点部署范围内,我们的轻量级定位技术与其他基于无线电信号强度的最新定位技术相比,具有可比或更高的精度。条件。

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