通过阈值RSS测量在无线传感器网络中最小化距离模糊

C. Ladha, B. Sharif, C. Tsimenidis, N. A. A. Latiff
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引用次数: 2

摘要

在室内环境中,使用RSS进行距离测量可能具有挑战性。多径和阴影的影响给读数带来了模糊性,导致可以从一次测量中推断出一系列距离。这一贡献突出了这些影响的频率依赖性。引入了上下边界约束,以实现实际的操作范围,并减少RSS测量不明确的可能性。在结果部分,我们用实际的实验结果验证了我们的理论极限。当我们的阈值方法转移到本地化方案时,我们还强调了RMSE的收益。
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Minimising distance ambiguity through thresholding RSS measurements in wireless sensor networks
Making distance measurements with RSS can be challenging in indoor environments. The effect of multipath and shadowing introduces ambiguity into the readings, leading to a range of distances that can be inferred from a single measurement. This contribution highlights the frequency dependancy of these effects. Lower and upper bounding constraints are introduced to achieve an practical operational range and mitigate the possibility of ambiguous RSS measurements. In the results section we verify our theoretical limits with practical based experimental results. We also highlight the gains in RMSE when our thresholding approach is transferred to a localisation scheme.
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