无线传感器网络高精度加权边界盒定位算法

Xin Shi, Linghua Zhang
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引用次数: 4

摘要

无线传感器网络(WSN)的固有特性使得节点定位成为一个重大挑战。为了提高原包围盒算法的定位精度,提出了一种高精度加权包围盒(HPWB)算法。在HPWB算法中,根据邻居锚点的数量将未知节点分为三类。对于第一类节点,提出了一种基于接收信号强度指标(RSSI)的加权方法。对于二类和三类,提出了一种排除方法。仿真结果表明,与原有的边界盒算法和加权质心算法相比,本文提出的HPWB算法具有更高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-precision weighted Bounding Box localization algorithm for Wireless Sensor Network
The inherent characteristics of Wireless Sensor Network (WSN) make node localization become a major challenge. A high-precision weighted Bounding Box (HPWB) algorithm is proposed to improve the localization accuracy of original Bounding Box algorithm. In HPWB algorithm, unknown nodes are divided into three categories according to the number of neighbor anchors. As for nodes in category one, a weighted method based on RSSI (Received Signal Strength Indicator) is proposed. As for category two and three, an exclusion method is presented. Simulation results show that our proposed algorithm HPWB achieves higher precision, compared with the original Bounding Box algorithm and Weighted Centroid algorithm.
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