Improved localization algorithm based on RSSI in low power Bluetooth network

Xiaolong Shen, Shengqi Yang, Jian He, Zhangqin Huang
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引用次数: 18

Abstract

Due to the low power feature of Bluetooth, network based on Bluetooth has been considered as one of the promising positioning technology candidates by the research and industry communities. In order to reduce the positioning error being introduced by the Received Signal Strength Indication (RSSI) algorithm, an optimized RSSI ranging and positioning algorithm is proposed, which is fully based on the low power Bluetooth positioning technology. First, this algorithm uses the trilateral algorithm to get the rough region estimation which covers all the unknown nodes. Second, by breaking down the area, the algorithm forms the RSSI value for the beacon nodes at the centroid of each region, and also forms the RSSI value at the unknown nodes. Thirdly, the RSSI values that are formed by the beacon node at the unknown node and at the centroid of each region are compared against each other to determine the unknown node's location. Experiments and simulation results show that this algorithm can increase accuracy of distance estimation by 63.3% compared to the traditional centroid localization algorithm.
低功耗蓝牙网络中基于RSSI的改进定位算法
由于蓝牙的低功耗特性,基于蓝牙的网络已被学术界和工业界认为是最有前途的定位技术候选之一。为了减小RSSI (Received Signal Strength Indication,接收信号强度指示)算法带来的定位误差,提出了一种完全基于低功耗蓝牙定位技术的RSSI测距定位优化算法。该算法首先利用三边算法得到覆盖所有未知节点的粗糙区域估计;其次,算法对区域进行分解,在每个区域的质心处形成信标节点的RSSI值,并在未知节点处形成RSSI值。第三,将信标节点在未知节点和各区域质心处形成的RSSI值进行对比,确定未知节点的位置。实验和仿真结果表明,与传统质心定位算法相比,该算法的距离估计精度提高了63.3%。
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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