Indoor Localization Algorithm for Wireless Sensor Network Based on Range-Free

被引：0
|
作者：
Chen, Yubin [1 ]
Liu, Zhaorong [1 ]
Li, Yue [1 ]
Wang, Yan [1 ]
机构：
[1] Nanchang Hangkong Univ, Inst Software, Nanchang 330063, Jiangxi, Peoples R China
来源：
ADVANCES IN WIRELESS SENSOR NETWORKS, CWSN 2013 | 2014年 / 418卷
关键词：
Indoor Localization; dimension reduction; anti-interference; KNN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Indoor localization of nodes in Wireless Sensor Network(WSN) is impeded by several factors: unreliability of wireless link quality, variety of interference factors, low accuracy of localization. To solve the problem of indoor localization, we propose an range-free algorithm for WSN-based systems. We build several classes of samples that have different similarity by dividing the k-nearest neighbor. Our algorithm are mainly composed of two parts. First, we filter the original samples to remove the noise data out of the original samples. Second, we reduce dimension to overcome the impact of lost packets. The simulation results show that our algorithm can improve the accuracy of localization and the anti-interference capability.
引用
收藏
页码：221 / 230
页数：10
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