基于自组织地图的传感器网络节点定位

Y. Takizawa
{"title":"基于自组织地图的传感器网络节点定位","authors":"Y. Takizawa","doi":"10.1109/WISNET.2011.5725032","DOIUrl":null,"url":null,"abstract":"The localization of sensor node is one of the key issues for sensor network systems. Therefore, several localization systems to obtain precise location information have been researched. However, they need completely configured space using a large number of anchor nodes of which location are well known, and are not suitable for sensor networks. To avoid the problems, we proposed the node localization method based on Self-Organizing Maps and needs no prepared space with a large number of anchor nodes. But, as in other similar precise localization methods, the proposed method needs advanced distance measurements unavailable in conventional sensor node systems. In this paper, the modification of the self-organizing localization for distance measurement that uses received signal strength available in conventional sensor node systems is described and its location estimation accuracy is shown.","PeriodicalId":128026,"journal":{"name":"2011 IEEE Topical Conference on Wireless Sensors and Sensor Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Node localization for sensor networks using Self-Organizing Maps\",\"authors\":\"Y. Takizawa\",\"doi\":\"10.1109/WISNET.2011.5725032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The localization of sensor node is one of the key issues for sensor network systems. Therefore, several localization systems to obtain precise location information have been researched. However, they need completely configured space using a large number of anchor nodes of which location are well known, and are not suitable for sensor networks. To avoid the problems, we proposed the node localization method based on Self-Organizing Maps and needs no prepared space with a large number of anchor nodes. But, as in other similar precise localization methods, the proposed method needs advanced distance measurements unavailable in conventional sensor node systems. In this paper, the modification of the self-organizing localization for distance measurement that uses received signal strength available in conventional sensor node systems is described and its location estimation accuracy is shown.\",\"PeriodicalId\":128026,\"journal\":{\"name\":\"2011 IEEE Topical Conference on Wireless Sensors and Sensor Networks\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Topical Conference on Wireless Sensors and Sensor Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISNET.2011.5725032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Topical Conference on Wireless Sensors and Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISNET.2011.5725032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

传感器节点的定位是传感器网络系统的关键问题之一。因此,研究了几种获取精确位置信息的定位系统。但是,它们需要使用大量已知位置的锚节点进行完全配置的空间,不适合用于传感器网络。为了避免这些问题,我们提出了基于自组织映射的节点定位方法,该方法不需要有大量锚节点的准备空间。但是,与其他类似的精确定位方法一样,该方法需要传统传感器节点系统无法提供的高级距离测量。本文描述了利用传统传感器节点系统接收信号强度对自组织定位进行距离测量的改进,并展示了其定位估计精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Node localization for sensor networks using Self-Organizing Maps
The localization of sensor node is one of the key issues for sensor network systems. Therefore, several localization systems to obtain precise location information have been researched. However, they need completely configured space using a large number of anchor nodes of which location are well known, and are not suitable for sensor networks. To avoid the problems, we proposed the node localization method based on Self-Organizing Maps and needs no prepared space with a large number of anchor nodes. But, as in other similar precise localization methods, the proposed method needs advanced distance measurements unavailable in conventional sensor node systems. In this paper, the modification of the self-organizing localization for distance measurement that uses received signal strength available in conventional sensor node systems is described and its location estimation accuracy is shown.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Characterization of 720 and 940 MHz oscillators with chip antenna for wireless sensors from room temperature to 200 and 250 °C A power saving jamming system for E-GSM900 and DCS1800 cellular phone networks for search and rescue applications Numerical and experimental investigation of TDOA-based positioning system by ultra-wideband impulse radio Node localization in WSN using trigonometric figures Performance analysis of probabilistic transmission control for distributed estimation in wireless sensor networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1