Towards Enhanced RSSI-Based Distance Measurements and Localization in WSNs

H. AbdelSalam, S. Olariu
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引用次数: 16

Abstract

Despite its inherent inaccuracy, RSSI has been used as the standard tool for distance measurements in the majority of range-based localization protocols available in the literature. In this paper, we propose a technique to enhance the accuracy of RSSI-based distance measurements using calibration. Our technique depends on the existence of location-aware anchor nodes that are distributed across the deployment area. Initially and through exchanging messages between anchors, the deployment area is divided into disjoint set of Delaunay triangles. Through the power of received signals, anchors estimate a set of calibration records(CR) and distribute them to sensors in their neighborhood. Each triangle edge connects a pair of anchors and is associated with a single calibration record. Each record contains calibration parameters for sensors in the neighborhood of the record anchors. Based on the power of received messages from different anchors, sensors can determine the calibration record they should use for their RSSI-based distance measurements.
基于rssi的无线传感器网络距离测量与定位研究
尽管其固有的不准确性,RSSI已被用作文献中大多数基于距离的定位协议中距离测量的标准工具。在本文中,我们提出了一种使用校准来提高基于rssi的距离测量精度的技术。我们的技术依赖于分布在部署区域的位置感知锚节点的存在。最初,通过在锚点之间交换消息,部署区域被划分为不相交的Delaunay三角形集合。通过接收信号的功率,锚点估计出一组校准记录(CR),并将其分发给邻近的传感器。每个三角形边连接一对锚点,并与单个校准记录相关联。每条记录包含记录锚点附近传感器的校准参数。根据从不同锚点接收到的消息的功率,传感器可以确定它们应该用于基于rssi的距离测量的校准记录。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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