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首页> 外文期刊>International Journal of Space-Based and Situated Computing >Distance measurement correction based on feedback filter for RSSI localisation technique in WSNs
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Distance measurement correction based on feedback filter for RSSI localisation technique in WSNs

机译：基于RSSI本地化技术的WSNS的反馈滤波器距离测量校正

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摘要

Localisation methods based on the received signal strength indicator (RSSI) are widely used in wireless sensor networks (WSNs). They offer an energy reduced and cost-effective solutions for wireless localisation. Due to radio irregularity, RSSI localisation is vulnerable to multipath, shadowing, interference and environmental effects, which reduces the accuracy of localisation results. In this paper, a new distance measurement correction algorithm is presented, which is based on feedback filter and hardware characteristic. It implements the feedback filter with consideration of historical values of RSSI. This enables to predict possible values of RSSI and thus nodes positions. Hardware characteristics, such as multiplication and summation capabilities are explored to improve the localisation accuracy. Real experiments were carried out on panStamp sensor nodes at two different temperatures. The new proposed RSSI technique shows a reduced localisation error compared to the simple RSSI method.
机译：基于接收信号强度指示符（RSSI）的本地化方法广泛用于无线传感器网络（WSN）。它们为无线定位提供了减少和成本效益的解决方案。由于无线电不规则，RSSI本地化容易受到多路径，阴影，干扰和环境影响，这降低了定位结果的准确性。在本文中，提出了一种新的距离测量校正算法，其基于反馈滤波器和硬件特性。考虑到RSSI的历史值，它实现了反馈过滤器。这使得能够预测RSSI的可能值并因此预测节点位置。探讨硬件特性，例如乘法和求和功能，以提高本地化精度。在两个不同温度的Panstamp传感器节点上进行真实实验。与简单的RSSI方法相比，新建的RSSI技术显示了缩小的本地化误差。

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