无线传感器网络中三边定位的聚类分析改进算法  

Improved Algorithm of Trilateral Clustering Analysis in Wireless Sensor Network

作　　者：朱齐媛 马兴灶 ZHU Qi-yuan;MA Xing-zao(School of Electronic Engineering/Lingnan Normal University, Zhanjiang 524048, China;School of Electromechanical Engineering/Lingnan Normal University, Zhanjiang 524048, China)

机构地区：[1]岭南师范学院信息工程学院,广东湛江524048 [2]岭南师范学院机电工程学院,广东湛江524048

出　　处：《山东农业大学学报（自然科学版）》2019年第3期473-476,共4页Journal of Shandong Agricultural University：Natural Science Edition

基　　金：超声波辅助热风干燥龙眼能效评价与品质控制系统研究(2017KQNCX123);紧凑型多模带通滤波器的设计(2014B01131)

摘　　要：为提高无线传感器网络(WSN)节点定位精度,本文提出一种基于 RSSI 三边定位聚类改进算法。该算法基于RSSI 向量在三边测量定位的结果中引入聚类优化算法,最后得到未知节点的定位结果。数据表明,该算法在无线传感器网络未知节点的定位中定位精度和定位误差都有改进。In order to improve the positioning accuracy of wireless sensor network (WSN) nodes, an improved algorithm of tripartite location clustering based on RSSI(Received Signal Strength Indicator)was proposed. This algorithm was based on the data set of the spatial RSSI vector. It introduced the clustering improvement algorithm into the results of the trilateral localization method and obtained the positioning results of the unknown nodes. The data showed that the algorithm could improve the positioning accuracy and error of the unknown nodes in WSN.

关 键 词：无线传感器网路 RSSI 聚类分析 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]